matlab image processing tutorial

One: Cause(0) The beginning of the individual is very incompatible with the MATLAB programming language, Ken can be part of the programmer's common problem-learn C + + or Java, will despise other languages, too lazy to try other languages. Until one day ... He found that he or she found that the language he was proficient in could not solve the problem before making a change.(1) Recently has been dealing with big data, from MB----> GB changes, is a qu

First, the nearest neighbor interpolation algorithm thought step: 1. Depending on the magnification, create a new size of the original image size * multiples of the 0 Matrix 2.0 matrix of each pixel value based on the original image, that is, the x,y divided by multiples of the decimal rounding (round function in MATLAB to take the nearest integer decimal) 3. Fo

-edge pixels, only a few thin lines, that is, the candidate edge. figure (c) for the two-threshold algorithm after the processing of the two-valued image (the selected low threshold of 22, the ratio of the high and low threshold is 2:1), the contrast chart (b) found that the process effectively suppressed the "false edge", but also connected to some of the broken edges. figure (d) is the use of

('2 '); Subplot (2, 2, 3); mesh (peaks ); View (90,0 ); Title ('3 '); Subplot (2, 2, 4); mesh (peaks ); View (-7,-10 ); Title ('4 '); Ii. Color Processing 3. Image Cropping The Nan constant defined by MATLAB can be used to represent the unusable data. With these features, the corresponding function values of the cropped part of the graph can be set to Nan, so th

Network (PCNN) is a new kind of neural network, which is different from the traditional artificial neural network, and it has important biological background, which is proposed by Eckhorn to explain the phenomenon of neuron synchronization which is observed by experiments in the cat's brain visual cortex. PCNN's biological background makes it have the innate advantage in the image processing, has the super

Digital Image) An image can be defined as a two-dimensional function f (x, y). Here, X and Y are spatial coordinates, and in any coordinate (x, y) the amplitude F is called the brightness or gray scale of the image at the coordinate position. When the amplitude of X, Y, and F are finite discrete values, they are called digital images. Note that a digital

Document directory Contents Batch ProcessingFrom: Steve on Image Processing http://blogs.mathworks.com/steve? P = 61 A couple of months ago I was working with a bunch of pictures I had taken at home. I had about 40 of them, and I needed to crop and resize them all the same way. naturally, I wrote a MATLAB script to do it.This experience reminded

When doing image processing, it is sometimes necessary to process only one particular region of the image, rather than the entire image. For example, to the user selected a specific area for the mean filter or contrast enhancement, MATLAB can only be specific to the region t

In GUI functions of the MATLAB Image Processing Toolkit (image processing Toolbox), there are some functions used to select rectangles or elliptical regions on an image or an axis, using the following example: [plain] view plain c

Turn from http://www.cnblogs.com/tiandsp/archive/2012/01/07/2316006.html thanks to DSP TianClearCLCimg = imread (' 124.jpg '); % Read image from graphics file[m n T] = size (IMG); % Get pattern sizemax = 0;min = 256;Avg = 0;For I =1:1:mfor j = 1:1:nIf IMG (i,j) Min = img (i,j);EndIf IMG (i,j) >maxMax = img (i,j);EndAVG = AVG +double (img (i, j));EndEndAvg = uint8 (avg/(m*n));MNTMaxMinAvgHow to read and write image