FFT filter FFT Filters
VGA palette and many other parameters VGA palette and elastic others
Sort by name
Including angle and scale including angle and Scale
Keep the target keep targets
Save
Save and Load
Saturation saturation
Saturation addition and subtraction add and subtract with saturate
Background fades background flatten
Find background
Edge and Stripe/Measurement
Edge and stripe extraction find edge and stripe
Edit
Edit
Edit or delete the relevant region edit or delete relative region
Code
Coda bar
Convert forward or reverse Fast Fourier Transformation
Variables and custom behaviors variables and Custom Actions
Variable detection examine Variables
Deformation Warping
Deformation coefficient warping Coefficients
Title Tile
Label and zone of influence
Standard Normal
Standard Deviation
Surface bending convex
Merge into image merge to image
Collection bar digitizer bar
Collection type grab type
Menu Format menu item
Parameter preferences
Parameter axis and angle reference axis and Angle
Measurement
Extract measurements from
Display Measurement Results and statistics display measurement results and statistics
Measurement conversion transfer to Measurement
Insert
Insert
Insert condition check insert condition checks
Find the maximum value find extreme maximum
Length
Calculation of more than 50 different features calculate over 50 differentfeatures Area
Undo
Undo levels
Multiply by multiply
Size
Red/
Process Processing
Process/collect images to a new window processed/grabbed image into new window
Window window
Window monitoring Watch window
Window Leveling
Create
Vertical edge
From windows
Create a new from grid from a table
From toolbar button from toolbar button
Merge merge from user form from user window
Rough Roughness
Error correction error correction
Error matching fit Error
Open open
Open recent file or script open recent file or script
Print print
Print settings print setup
Print preview
Size and date
Band Pass
8-bit with a color palette
Histogram with dynamic preview and elliptic contour histogram and X, y line curveellipse profiles with dynamic Preview
Band reject
Code Type
Single Step
Single simple
Snap shot for single frame capture
Import VB
Etc.
Low-pass
First frame first
Point point
Palette preview palette Viewer
Debug mode
Call external DLL
Resize resize
Adjust the smoothness of the contour filter and the minimum Domain value of the contour adjust smoothness of contour filter and minimum threshold forcontours
Fixed Point division fixed point divide
Positional Accuracy
Define a template that contains inconsistent or non-feature-free regions. Define model including mask for irrelevant inconsistent orfeatureless Areas
Customization-configuration menu Customize-configure menus
Dynamic preview with dynamic Preview
Read or generate a bar or Matrix Code read or generate bar and matrix Codes
Read and check the feature string erify character strings
Breakpoint break points
Contrast contrast
Contrast stretch contrast stretch
Symmetric ry
Apply don & #39; t care pixel mask to Model
Polygon
Binary
Binary separation separate binary
Binary and grayscale
Flip reverse
Return return
Zoom in or out 7 levels
Classification Result sort results
Watershed
Analysis
Group view Components
Floating point float
Corrosion erode
Composite View
Composite input combined with input
Copy duplicate
Copy duplicateselect all
Fourier transform
Change hot spot values
Region of interest (ROI)
Advanced Geometry
Qualcomm high pass
Formatbar
Change the default search parameter modify default search parameters
Tool utilities
Toolbar
Tool Properties
Toolbar
Workspace bar
Shared Profile
Component build
Construct Grid
Close
And/or and/or
And inverse FFT
Drawing tools
Cache buffer
Convert convert
Grayscale grayscale
Restore target restore targets
Play back playback
Drawing link connect Map
GET/load annotation make/load mask
Obtain the selected particle draw selected blobs
Or create an ROI from a relevant region or create an ROI from a relative region
Baseline score
Calibration ing-based distortion correction Distortion Correction Based on calibration Mapping
Polar Polarity
Polar coordinatetransformation
Ry
Record
Bold thick
Add
Spacing interval
Distance distance
Compatible with compatible
Compactness
Cut
Subtraction subtract
Reduce indentation outdent
Interactive font definition parameters include search restriction ine font parameters including search Constraints
Script bar
Angle
Angle and scale range
Receive and determine the Domain value acceptance and certainty thresholds
Result bar
Unlock targets
Precision and interval accuracy and timeout Interval
Rectangle
Rectangular
Absolute Difference absolute difference
Absolute Value: absolute value
Uniform uniform
Mean average
Copy
Copy Sequence
Acceptable Domain value acceptance threshold
Clone
Control
Control controls
Shortcut shortcut cut key
Breadth
Width and width
Laplace laplacians
Stretch Elongation
Blue
Type
Particle blob
Particle blob
Label blobs
Particle Separation segment blobs
Number of holes in the particle in a blob
Brightness brightness
Luminance
Save
Filter Filters
Green
Profile overlay
Contour polarity contour Polarity
Logical operation logical operations
Area area
Edit Model
Template overwrite model coverage
Template and target override model and target coverage
Template index model index
Template Detector Model Finder
Template position and angle model position and Angle
Template center model center
Fuzzy mask
Module import VB Module
Module modules
Pattern match pattern matching
Default case default cases
Target targets
Target separation separate objects
Target score
Euler number
Basin Basins
Expanded dilate
Matching rate Match scores
Matching Number of matches
Sum of the squares
Smooth
Average average
Average averaged
Mean Value
Translation
Foreground color
Clears the buffer as a constant clear buffer to a constant.
Delete special
Region Growth region-growing ROI
Anti-negate
Delete all
Default fill and connected particle separation fill holes and separate touching blobs
Center moment and Second Moment of any specified position central and ordinary moments of any order location: X, Y
Sharpen a sharpen
3D view 3D
Color hue
Delete Delete
Delete Frame
Set settings
Set the camera type enable digitizer camera type
Set key points set main
Demo demos
Number of detected events: occurrences
Event count number of occurrences
View
Collect DICOM
Manual manually
Hand-drawn curve freehand
Output options
Output selection result export selected results
Input Channel
Properties page
Data Matrix datamatrix
Digital settings digitizer settings
Double Buffer
Dual-Domain value Two-Level
Horizontal edge horizontal edge
Search for find
Search and other applications windows finder and other applications
Search Angle
Search Results: Search Results
Search Area
Search Region
Search speed
Speed
Algorithm Arithmetic
Scaling and Scaling
Scale and offset
Lock destination
Lock real-time image processing effect preview lock live preview of Processing Effects on Images
Lock preview lock Preview
Lock Source
Specific angle at specific angle
Specific matching operation hit or miss
Graded rank
Replace
Add Noise
Strip diameter ferret diameter
Stop stop
Stop collecting halt grab
Synchronize synchronize
Sync Channel
Statistics on Statistics
Image
Image Size
Image copy image
Image Properties
Graph
Exit exit
Ellipse
Ellipses
Shape shape
Pseudo-color pseudo-color
Position
View as text
File
File mil MFO font file
File Load and save as mil MMF files
File Load and save models as mil MMO files OCR
File function make callto functions in external DLL files
File Converter file converteractivemil builder activemil Builder
Unsigned extract part extract band-
Refine thin
Next frame
Display grayscale ayscale representations of fonts
Show Code
Line
Lines
Relative start point relative Origin
Total pixels sum of all pixels
Move forward or backward to front or back
Up or down
Calibration Calibration
Calibrate Calibration
Paste paste into new/ROI in the new/interest area
New
Information/graphic layer DICOM information/overlay
Morphological morphology
Action Actions
Modify modify
Modify the path modify paths
Modify search parameter modify default search parameters
Sequence collection Sequence
Rotate Rotation
Rotating template rotate Model
Select
Select Selector
Loop Loops
Move move
Shift
Apply filter and Classifiers
Affected zone of influence
Ing Mapping
User Defined
Real-time preview of watershed conversion results with change-based control prevents over-cutting live preview of resulting watershed transformations with controlover variation to prevent over Segmentation
Fill with value with a value
Optimize and edit the palette optimization/Editor
Conditional conditional
Domain value threshold
Domain value Thresholding
Pre-processing template optimized search speed loop all scans preprocess model to Optimize search speed circular over-Scan
Preview previous
Number of cells and Threshold Auto or manual
Minimum/maximum cell size min/MAX
Source
Allowed matching error rate and weighted fit error and weight
Run run
Number of modelmatches in target matching
Pause pause
Increase indent
Integer Division integer divide
Positive FFT
Normal continuous normal
Supported symbolic orted symbologies: BC 412
Histogram balancing histogram equalization
Execute
Execute external programs and automatically complete VBA only execute external programs and perform automation VBA only
Specify specify
Exponential exponential rayx
Median
Repeat
Reconstruct Reconstruction
Rebuilding and modifying the font restore and modify Fonts
Redo
Center of gravity
Perimeter perimeter
Comment annotations
Convert convert
Convert convert
Load
Load and save the template as mil MMO
Load and save as mil MFO
Load and save as mil MMF
Status Bar
Resource Manager drag and drop image drag-and-drop images from Windows assumerwindows
Automatic or manual
Automatic or manual template creation of automatic or manual Model Creation
String size
String
Font
Max. Maximum
Maximum Maximization
Maxima
Last frame
Min. Minimum
Minimal minimum
Minimum interval standard minimum separation criteria
Min number minima
Coordinate box range bounding box coordinates
Algebraic operation algebra is an image processing operation that includes the sum, difference, product, and quotient of the two images corresponding to pixels.
Aliasing is an artificial trace generated when the pixel distance between the image and the image details are too large.
Arc arc; a part of an image; represents a collection of connected pixels in a curve segment.
Binary Image; only two levels of gray digital images (usually 0 and 1, black and white)
Blur blur; image clarity decreases due to defocus, low-pass filtering, and camera motion.
Border border; the first, last, or column of an image.
Boundary Chain Code boundary chaincodes; defines the direction sequence of an object boundary.
Boundary pixel boundary pixel; Interior pixels adjacent to at least one background pixel (comparison: External pixel, internal pixel)
Boundary Tracking boundary tracking; an image segmentation technique that explores the arc from a pixel sequence to the next pixel by detecting the arc.
Brightness brightness; a value related to a point in the image, indicating the amount of light emitted or emitted from the object at that point.
Change Detection change detection; compares the pixels of two quasi-images through subtraction to detect the differences between objects.
Class class; see module or Class
Closed curve; a curve in the same position at the first and last points.
Cluster clustering and cluster; a set of points close to each other in a space (such as a feature space.
Cluster analysis cluster analysis; detection, measurement, and description of clustering in space.
Concave concave. An object is concave. It refers to a point in at least two objects, and its link cannot be completely contained in the object (the antonym is convex)
Connected
Contour encoding contour encoding; an image compression technology that only encodes its boundary for areas with even gray scale.
Contrast contrast; the difference between the average brightness (or gray scale) of an object and its surrounding background
Contrast stretch contrast extension; a linear grayscale Transformation
Convex is convex. An object is convex. A straight line connecting any two points inside an object falls inside the object.
Convolution: convolution is an operation that combines two functions into a third function. convolution depicts the operation of a linear shift-free system.
Convolution kernel; 1, a two-dimensional digital array used for digital image convolution filtering; 2, a function for Convolution with images or signals.
Curve; 1. A continuous path of space; 2 indicates a set of pixels of a path (see the arc and closed curve ).
Deblurring deblur; 1. An operation to reduce image blur and sharpen image details. 2. Removing or downgrading the blur of an image is usually a step of image restoration or reconstruction.
Demo-rule decision rules: in pattern recognition, it is used to assign objects in an image to a certain number of rules or algorithms. This assignment is based on object feature measurements.
Digital Image; 1 indicates an integer array of the scene image; 2 a two-dimensional or higher-dimensional sampling and quantization function, which is produced by continuous images of the same dimension, 3. Samples a continuous function on a rectangle (or other) network and quantifies the value at the sampling point.
Digital image processing digital image processing; operations on image information by computers.
Digitization: the process of converting a scene image into a digital form.
Edge edge; 1 in the area where Gray changes occur in the image; 2 is a pixel set on an arc, and the pixels on the other side are significantly different from those on the other side.
Edge Detection: an image segmentation technique that identifies edge pixels by checking the neighborhood.
Edge enhancement: an image processing technology that enhances the image edge by comparing and expanding the pixels on both sides of the edge.
Edge image. In an edge image, each pixel is either marked as an edge or non-edge.
Edge linking EDGE connection; an image processing technology that connects edge pixels into edges in edge images.
Edge operator, which marks edge pixels in an image.
Edge pixel; edge pixel.
Enhanced enhance; increases contrast or subjective visibility.
Exterior pixels external pixels; in a binary image, pixels outside the object (relative to internal pixels)
False negative: Negative false positive recognition. In two types of pattern recognition, objects are marked as non-objects by mistake.
False Positive positive/false positive.
Feature feature; a feature of an object that can be measured. Helps to classify objects. Such as size, texture, and shape.
Feature Extraction Feature Detection: a step in pattern recognition to calculate the measurement of an object.
Feature Selection feature selection; a step in pattern recognition system development. It is intended to study whether quality or observation can be used to assign objects to a certain category.
Feature space feature space; see measurement space
The Fourier transform Fourier transformation adopts the complex exponent as a linear transformation of the kernel function.
Geometric correction ry correction; adopts a geometric transformation to eliminate geometric distortion of an image restoration technology.
Gray Level: gray level; 1. The value associated with the pixels of a digital image, which indicates the brightness of the original scene point of the pixel. 2. Digital Measurement of the local properties of an image at a pixel position.
Gray Scale grayscale; A set of all possible gray levels in a digital image
Gray-scale transformation gray scale conversion is a function in point operations, which establishes the relationship between the input gray scale and the corresponding output gray scale.
Hankel transform Hankel transformation
Harmonic signal; complex signal with Cosine real part and sine imaginary part combination of the same frequency
Hermite function; a complex function with an even real and odd virtual part
Highpass filtering high-pass filtering; image enhancement (usually convolution) operations, compared with the low-frequency part, it improves the high-frequency part.
Hole; in a binary image, a connected background point completely surrounded by an object's Interior Point
An image. A unified representation of a physical scene or other images is called an image.
Image compression: Image Compression removes image redundancy or any process similar to an image, which is used to compact the image in a more compact form.
Image Coding: encodes an image into another recoverable form (such as compression)
Image Enhancement image enhancement; Any processing to improve the visual appearance of the image
Image matching: The process of quantifying and comparing the two images to determine their similarity.
Image-Processing operation: a series of steps for converting an input image into an output image
Image Reconstruction image reconstruction; process of constructing or recovering images from non-image forms
Image Registration: Performs geometric operations on one image and another image of the same image to align the object.
Image Restoration: Restores an image to its original state through the process of inverse image degradation.
Image segmentation image segmentation; 1. Detect and outline the processing of objects of interest in the image; 2. Divide the image into unconnected areas. Generally, these regions correspond to objects and the background of objects.
Pixels in interior pixel; pixels inside an object (relative to boundary pixel, external pixel) in a binary image)
Interpolation interpolation. The process of determining the sampling function between sampling points is called interpolation.
Kernel Core
Line Detection; an image segmentation technique that identifies linear pixels by checking the adjacent area
Line pixel linear pixels; pixels on an arc similar to a straight line
Local Operation: local operation. The gray scale of the output pixel is determined based on the pixel gray scale of a neighboring area of the input pixel, which is the same as that of the neighboring area (comparison: vertex operation)
Local Property local features; interested features (such as the brightness or color of an optical image; non-Optical Image Height, temperature, density, etc.) that change with position in the image)
Lossless Image Compression non-distortion image compression; any image compression technology that allows full reconstruction of the original image.
Lossy image compression: Distorted Image Compression; because of its approximation, it cannot accurately reconstruct any image compression technology of the original image.
Matched Filtering and filtering; use a matching wave to detect the existence and location of a specific object in the image
Measurement space: the n-dimensional vector space that contains all possible measurement vectors in pattern recognition.
Misclassification; in pattern recognition, the object is mistakenly classified as another class.
Multispectral Image multi-spectral image; a group of images of the same scene, each of which is produced by the different band radiation of the electromagnetic spectrum
Neighborhood neighborhood; A set of pixels near a given pixel
Neighoorhood operation neighoorhood Calculation
Noise noise; unrelated to the identification and interpretation of interest data in an image
Noise noise reduction; Any processing of noise in a pair of images
Object target and object. in pattern recognition, a set of connected pixels in a two-value image usually corresponds to an object in the image.
Optical Image: Results of the projection of light from a scene to a surface through an optical device such as a lens
Pattern pattern; a class member shows a common and meaningful regularity, which can be measured and used to classify objects of interest.
Pattern class, which can be used to assign any class of an object to an incompatible pre-defined class set.
Pattern Classification pattern classification; process of assigning objects to pattern classes
Pattern recognition pattern recognition; automatic or semi-automatic detection, measurement, and classification of objects in an image
Pel pixel; abbreviation of Image Element
Perimeter perimeter; the peripheral distance around the boundary of an object
Picture element: Image Element, pixel; minimum unit of digital image; basic unit of a Digital Image
Pixel; abbreviation of Image Element
Point Operation point operation. Only the image processing operation that determines the output gray value of the pixel based on the input gray value of the corresponding pixel (comparison: neighborhood Operation)
Quantitative image analysis image quantitative analysis; the process of extracting quantitative data from a digital image
Quantization quantization; the process of assigning the local characteristics of an image to elements in a gray set at each pixel
Region region; connected subset in a pair of images
Region growing area is growing. It is an image segmentation technology that repeatedly seeks the Union of adjacent sub-areas with similar gray or texture to form areas.
Registered is accurate; 1 is in the correct state, 2 or more images have been geometric tuned, and the objects in the images are consistent.
Registered image is a quasi-image. The two (or more) images of the same scene have their positions properly, so that the objects have the same image position.
Resolution resolution; 1. Minimum separation distance between the points and objects that can be distinguished in optics; 2. in image processing, the degree to which adjacent point objects in the image can be distinguished
Run stroke; in image encoding, connected pixel sequences with the same gray scale
Run Length: the length of the trip. The number of pixels in a thread.
Run Length Encoding travel encoding; image compression technology represented by travel sequence in image lines, each travel is defined by a given travel length and grayscale Value
Sampling sampling (based on the sampling network) the process of dividing an image into pixels and measuring its local characteristics (such as brightness and color)
Scene scenes; a distinctive layout of objective objects
Sharp clarity; easy resolution of image details
Sharpening sharpening; an image processing technology used to enhance image details
Sigmoid Function S function. A function such as S is a gray-scale change function. It can also be used for processing unit (PE) functions in the neural network.
Sinusoidal sine type; function type with sine function shape
Smoothing smoothing; a graphic processing technology that reduces the image's details, usually used for Noise Reduction
Statistical Pattern Recognition Statistical Pattern recognition; assign an object to Pattern Recognition Using Probability and Statistics
Structural Pattern Recognition Structure Pattern recognition; a pattern recognition method for describing and classifying objects and representing objects as the basis element and Their Relationships
Syntactic Pattern Recognition syntax pattern recognition; A structure pattern recognition method that defines elements and their relationships using natural or artificial language patterns
System system; anything that receives input and outputs
Texture texture, an attribute that represents the Gray Scale Amplitude of an image and the spatial organization of local changes in the image during image processing.
Thinning is a two-value image processing technology that compresses an object into a fine curve (single pixel width ).
Threshold threshold; used to produce a specific gray scale of a binary image
Thresholding binarization; a grayscale image generates a binary image. If the gray value of the input pixel is greater than the given threshold, the output pixel is assigned 1; otherwise, the value is 0.
Transterfunction transfer function. In a linear shift-free system, the frequency function that expresses the amplitude ratio of the sine input signal at each frequency and transmits it to the output signal.