crack_detection

opencv SIFT源码详细分析，代码能够准确实现(opencv SIFT detailed analysis of the source code can achieve accurate)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

采用MATLAB语言编程实现了基于遗传算法的最大熵单阈值、最大熵双阈值、二维最大熵单阈值图像分割和基于最大类间方差遗传算法的图像分割(Through the study of threshold segmentation method and genetic algorithm theory, matlab programming language used to achieve the genetic algorithm based on maximum entropy single threshold, dual-threshold maximum entropy, maximum entropy of two-dimensional single-threshold image segmentation and otsu genetic algorithm for image segmentation.)

相当的经典啊 是基于MATLAB的 大家做图像匹配的都可以用的到(Fairly classic MATLAB-ah is based on the U.S. to do image matching can be used to)

基于形态学的在Matlab下进行的图象骨架化及恢复,其中包含骨架化函数Frame和恢复函数refresh(based on the morphology of Matlab under the images of the skeleton and the restoration, which includes Frame function of the skeleton and the restoration of function refresh)

基于分形维数的图像分割，讶究 Blog欢迎您~~(www.iobeta.com iobeta.com www.vcbeta.net vcbeta.net)

实现图像感兴趣区域的选取，代码完整，可直接调用，具有一定的参考价值(Image of the selected region of interest, code integrity, and can be directly called, has a certain reference value)

这是一个matlab关于分数阶混沌的源程序代码，通过该程序可画出混沌图，这对初学者很有帮助。我已经调试过了。(This is a matlab fractional order to chaos on the source program code, through the program can draw a picture of the fractional order, to beginners helpful. I have the commissioning)

说明：  通过IDL，简单实现灰度变换，彩色变换等基本操作，包括图片打开保存拖拽显示(Simple implementation of gray level transformation, color transformation and other basic operations)

图像频域滤波，实现图像频域滤波，加深对频域图像增强的理解(Image frequency domain filtering, image frequency domain filtering, to deepen understanding of the frequency-domain image enhancement)