Histogram matching principle is not much to explain, I have also been the MATLAB source rewrite into the C source code, the details can be seen in accordance with the MATLAB Histeq function rewritten under the OPENCV of the histogram prescribed C source code!
The following directly to the source code and run the results:
The source of the desired picture download link is:Coins.png Http://pan.baidu.com/s/1
I do not intend to elaborate on professional terms, and interested readers can refer to the reference link at the end of the article, where there are understandable explanations:
Let's look at an example image (taken with Canon 550D):
Example Picture: butterfly.jpg
Here's how to implement the image histogram using Imagick:
Copy Code code as follows:
$file = ' butterfly.jpg ';
$size = Array
People who have played SLR cameras should know the image histogram (ImageHistogram). Simply put, it calculates the proportion of each color level in the total pixel to reflect the image exposure. I am not going to explain the terms in detail. if you are interested, you can refer to the reference link at the end of the article. there are easy-to-understand explanations:
Let's first look for an example image (shot with
Histogram is an important basic tool in digital image processing, before we discuss various spatial image processing, we must first understand the concept of histogram and its meaning.
The histogram provides the statistical information of the image and provides a foreshadowing for understanding the connotation of various spatial enhancement techniques.
I am not going to explain the terms in detail. If you are interested, you can refer to the reference link at the end of the article. There are easy-to-understand explanations:
Let's first look for an example image (shot with Canon 550D ):Example image: butterfly.jpg
Let's take a look at how to use Imagick to implement the image histogram:Copy codeThe Code is as follows: $ File = 'butterfly.jpg ';$ Size = array ( Apos; width apos; = apos; 256 apos,
People who have played SLR cameras should know the image histogram (ImageHistogram). Simply put, it calculates the proportion of each color level in the total pixel to reflect the image exposure. People who have played SLR cameras should know the Image Histogram. Simply put, it calculates the proportion of each color level in the total pixel to reflect the Image exposure.
I am not going to explain the term
I am not going to explain the terms in detail. If you are interested, you can refer to the reference link at the end of the article. There are easy-to-understand explanations:Let's first look for an example image (shot with Canon 550D ):Example image: butterfly.jpgLet's take a look at how to use Imagick to implement the image histogram:Copy codeThe Code is as follows:$ File = 'butterfly.jpg ';$ Size = array ( Apos; width apos; = apos; 256 apos, Apo
Grayscale histogram is the simplest and most useful tool for digital images. This article mainly summarizes the structure and application of cvhistogram in opencv.The definition of a grayscale histogram is a gray-level function that describes the number of pixels in the gray-level image (or the occurrence frequency of these pixels, the ordinate represents the number (frequency) of gray-level occurrences in
This paper mainly discusses histogram equalization , histogram stipulation (matching), Local histogram , constrained contrast adaptive histogram equalization (CLAHE), and image enhancement based on histogram statistics.
1. Histogram
A histogram is a method of classifying storage by the frequency at which data appears. In Oracle, histograms are used to describe the distribution of column data in a table. Each SQL is optimized before it is executed then the optimizer of an optimal execution plan in the optimizer should know the details of the underlying object referenced in the SQL statement .
The object that the histogram describes incl
Preface
Histogram is a very important tool in computer vision. opencv provides many functions related to histogram processing. The most basic function is to calculate the histogram function calchist (). The histogram is also introduced in the previous blog: opencv (4) of basic learning notes:
Canon and other high-definition SLR now more and more popular and more advanced technology, users in the use of the same time, there will inevitably be data loss, etc., today encountered a shooting wedding customers mistakenly operation will canon 80D machine in the MP4 format file all format lost, Later use of the various scanning software on the Internet to try their own recovery failed, the recovered fil
Let's give you a detailed analysis of the comparison between the Canon 600D camera and the Canon 550D camera.Analysis and sharing:Currently, Canon is available in two types: EOS 600D and 550D. The 600D is the subsequent model of 550D. 600D and 550D use the same 18 million pixel sensor, the same GIDIC 4 image processing engine, from Focus, viewfinder, shutter,
To the photographic enthusiasts to share a detailed analysis of Canon 5Ds and Canon 60D performance comparison.
Analytical sharing:
The brightest part of Canon 5DS is the sensor, and the EOS 5DS 50.6 million-pixel full frame sensor is a shock to everyone. What is the concept of 50 million pixel level? Before the pretty scenery of the medium-format CMOS
To the photographic enthusiasts for detailed analysis to share the Canon 100D camera performance and Canon 650D camera performance comparison.
Analytical sharing:
Canon 100D uses a 1.04 million-pixel 3-inch LCD touchscreen, which allows you to adjust the camera's parameters with a direct touch, which is comfortable to handle with a skin-slip h
I would like to share with you a detailed analysis of the comparison between canon and Canon 600D.Analysis and sharing:Canon Medical D is the latest entry-level SLR camera. Compared with the previous generation of Canon D, it has many performance improvements, but there are not many differences in final image output parameters, let's take a look at the differ
Continue to discuss the features of the Photoshop (PS) image > Adjustment (Adjust) menu. Before reading this article, you need to look at the histogram first.
Http://dbis.nankai.edu.cn/multimedia/color/f9784916187e374a20a4e984.html
tonal homogenization (equalize)
Keywords: histogram correction; histogram equalization; his
To the photographic enthusiasts for detailed analysis to share the Canon g1x camera performance and Canon G15 camera performance comparison.
Contrast Analysis:
Canon G1X lens using 4 times times three optical zoom lens, equivalent 28-112mm, aperture range of f2.5-16, and the recent focus distance of 20 cm (wide angle end), 85 cm (long focal le
To the photographic enthusiasts to share a detailed analysis of Canon D30 performance and Canon 650D performance comparison.
Detailed sharing:
Canon D30 is equipped with a 3-inch 460,000-pixel Tft LCD screen, with a new LCD-screen Daylight mode, and can easily see the LCD screen even in a sunny outdoor.
and Cano
Grayscale histogram is the simplest and most useful tool for digital images. This article mainly summarizes the structure and application of cvhistogram in opencv.The definition of a grayscale histogram is a gray-level function that describes the number of pixels in the gray-level image (or the occurrence frequency of these pixels, the ordinate represents the number (frequency) of gray-level occurrences in
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