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Minimum spanning tree segmentation based on graph
4.0
Application background Image segmentation is a key step in image processing. It can provide effective information for image retrieval and image analysis, which makes it possible to process a higher level of image processing. The common image segmentation method is divided into three categories based on the method of edge detection and edge detection, region based segmentation method and segmentation method based on specific theory tools. In the last few years, the combination of graph theory method and other methods, which makes the image segmentation transform into optimization problem, has become a hot spot in the field of image segmentation. Key Technology This code is own written based on the minimum spanning tree of graph segmentation matlab code, additional corresponding English literature, we can through MATLAB code to learn the verification algorithm, can also lay the foundation for the subsequent individual algorithm, the code has been c
suiyinling
2016-08-23
0
1
Edge detection of image SOBEL based on VC++
no vote
Application background Sobel edge detection is an important processing method in the field of computer vision. It is mainly used to obtain a step of digital image, the common application and physical meaning is edge detection. In the technique, it is a discrete first order difference operator, which is used to calculate the approximate value of the image brightness function. Any use of this operator at any point in the image will generate a gradient vector or a vector of the point corresponding to that point. Key Technology This procedure for the preparation of the pure framework of the Sobel operator edge detection, in the edge detection, a template is commonly used Sobel operator. Sobel operator has two, one is the detection of horizontal edge; the other is the detection of vertical edges. Compared with the Prewitt operator, the Sobel operator has a weighted effect on the position of pixels, and can reduce the edge blur degree, so the effect is
suiyinling
2016-08-23
0
1
Digital image algorithm demonstration program MyDI
no vote
Application background The digital image algorithm demonstration program MyDIP is developed in the MATLAB7.0 environment, the full use of its flexible and efficient graphical interface aided design tool, the name is GUI, that is, Design GUIDE. Program to achieve most of the image processing algorithms, with a friendly interface, can be easily demonstrated algorithm. Because the use of GUIDE is different from the VB or VC graphical user interface, in this algorithm to demonstrate the use of the program to do a brief description, the detailed contents of the MATLAB can refer to the GUIDE. Key Technology Copy the test picture and first in MATLAB from CD folder will be used three program files (the suffix, respectively.Asv,.Fig and m) to the MATLAB installation directory name for the work of the default search folder.
suiyinling
2016-08-23
1
1
Wavelet transform image denoising VC++6.0 source
4.3
Application background This procedure to achieve the multi - wavelet transform and inverse transform, wavelet image denoising is one of the areas of the application of wavelet, the more successful, which wavelet thresholding to noise algorithm is simple, small amount of calculation, obtained the widespread application. In the wavelet threshold denoising based on, the program realizes the wavelet transform based on edge detection to denoising algorithm, the high-frequency noise edge details and better separated in the subjective and objective boost the effect of noise are compared to a simple threshold denoising improved. Key Technology Image denoising based on wavelet transform is usually done by three steps: (1) wavelet transform; (2) the wavelet coefficients are processed to remove noise; (3) wavelet transform. Wavelet de noise of the core is in the second step according to a certain criterion of wavelet coefficient to modify, under the precond
suiyinling
2016-08-23
9
1
Read display and basic processing of VS2010 file b
4.0
Application background Personal lidar data Las format to read and processing procedures, debugging completely through no debug, can be directly run the learning and subsequent application development. Based on the vc++ VS2010 development, can be used for learning or follow-up development, and hope to learn more exchanges! Key Technology VS2010 Las file to read the display and basic processing based on and read the liblas and display using OpenGL and complete through the debugging, direct learning applications, contains the amplifier, narrow, translation, pattern intensity, height mode, the basic filtering operation, can be for lidar data reading and processing and programming source code for the subsequent development to provide support.
suiyinling
2016-08-23
24
1
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