MATLAB Image processing Toolbox

In addition to the individual functions in the table below, the rest of the functions are functions that the image Processing Toolbox provides for image processing, which is now extracted for searching.

Table 1 Image display

Name of function	function Description	Name of function	function Description
Colorbar	Color Bar Display	Montage	Display a multi-frame image as a rectangular clip
GetImage	Getting image data from a coordinate system	Immovie	Make a movie from a multi-frame indexed image
Image	Create a display image	Movie	Play a movie
Subimage	Display multiple images in the same image window	Trueszie	resizing image display
Imagesc	Adjust data and display images	Warp	Show image as texture map surface
Imshow	Image display	Zoom	Zoom in or out of two-dimensional graphics

Table 2 image file input/output

	functional description	function name	functional description
imread	image file read in	load	Push an image file with an extension of mat into memory
image written out	save images in memory variables to mat file
	read dicom image	Dicomwrite	output dicom image
iminfo		&NBSP;	< /td>

Table 3 image pixel values and their statistics

Name of function	function Description	Name of function	function Description
Impixel	Returns the selected image pixel color value	Imcontour	Drawing image data contours (contour lines, contour lines)
Improfile	Calculation of data values along a path in an image	Imhist	To find the histogram of image data
Mean2	Ask for the mean value	Corr2	To find the correlation coefficient
Std2	Ask for standard deviation

table 4 image analysis

	function description		function description
edge	grayscale image Edge detection		get four fork tree decomposition block value
qtecomp	perform quad tree decomposition	qtsetblk	set four fork tree decomposition block value

Table 5 image enhancement and smoothing

Name of function	function Description	Name of function	function Description
Imadjust	Contrast adjustment	Medfilt2	Two-dimensional mid-value filter
Histeq	Histogram equalization	Ordfilt2	Sequential statistical filters
Imnoise	Add noise to the image	Wiener2	Two-dimensional adaptive noise removal filter

Table 6 Image linear Filter and design of two-dimensional linear filter

Name of function	function Description	Name of function	function Description
Conv2	Two dimensional convolution	Freqz2	Calculate two-dimensional frequency response
Convmtx2	Computing two dimensional convolution matrices	Fsamp2	Design of two-dimensional FIR filter by frequency sampling
Convn	Multi-dimensional convolution	Ftrans	Conversion of two-dimensional FIRLBQ by frequency sampling
Filter2	Two-dimensional linear digital filter	Fwind1	Design of two-dimensional FIR filter with one-dimensional window method
Fspecial	Generating pre-defined filters	Fwind2	Two-dimensional FIR filter design using two-dimensional window method
Frespace	Determine the two-dimensional frequency response interval

Table 7 Image Transformations

Name of function	function Description	Name of function	function Description
Fft	Calculation of one-dimensional fast Fourier transformation	Dct	Calculate discrete cosine transforms
Ifft	Calculation of inverse transformation of one-dimensional FFT	iDCT	Calculating discrete inverse cosine transforms
Fft2	Calculate two-dimensional FFT	Dct2	Calculate 2D Discrete Cosine transform
Ifft2	Calculation of two-dimensional inverse FFT	Idct2	Calculate 2D inverse Discrete cosine transform
Fftn	Calculate Multidimensional FFT	Dctmtx	Calculating the TCT matrix
Ifftn	Calculation of multidimensional inverse FFT	Radon	Calculate Radon Transformations
Fftshift	DC component moved to Spectrum Center

Table 8 image fields and operations

Name of function	function Description	Name of function	function Description
Bestblk	Select block size for block processing	Colfilt	Using column direction functions for domain operations
Blkproc	Different block handling of the image	Im2col	Rearrange image blocks as matrix columns
Col2im	Rearrange matrix columns into image blocks	Nlfilter	Perform general field calculations

table 92 Value image Operations

Name of function	function Description	Name of function	function Description
Applylut	Using lookup tables for domain operations	Bwperim	Determining the target boundary in a two-value image
Bwarea	Calculating the target area in a binary image	Bwselect	Select a target in a binary image
Bweuler	Calculating Euler numbers in binary images	Dilate	Expansion calculation of two value image
Bwfill	Two-value image background area padding	Erode	Bed erosion operation on two value image
Bwlabel	Identify the connection components in a binary image	Makelut	Constructs a lookup table (Applylut) using
Bwmorph	Binary Image morphology operation

table 10 region-based image processing

function name	function description	function name	function description
roicolor	based on color selection You want processed area	roifilt2	pair to process area filter
			Select the polygon area to be processed

table 11 image geometric operations

	functional description		function description
imcrop	image trim		image rotation
image resizing	interp2	two-dimensional data difference

Table 12 Image Color Map operations

	functional description		function description
brighten	color image lightened or Darken	set get diagram
	rearrange colors in color map	Imapprox	approximate indexed image by less-than-color image
	look for unique color maps and corresponding images	rgbplot	draw RGB color map

Table 13 Color Control Conversions

Name of function	function Description	Name of function	function Description
Hsv2rgb	Convert the HSV color to an RGB color value	Mtsc2rgb	Convert NTSC values to RGB color space values
Rgb2hsv	Convert RGB color values to HSV color values	Rgb2ntsc	Convert an RGB value to an NTSC color space value

MATLAB Image processing Toolbox