extract-len-of-a-paper

多尺度的光谱图像分割，有对应的论文和matlab及c++代码(Multiscale spectral image segmentation, there are papers and the corresponding matlab and c++ code)

说明：  直方图均衡，图像去雾处理，是把原始图像的灰度直方图从比较集中的某个灰度区间变成在全部灰度范围内的均匀分布。直方图均衡化就是对图像进行非线性拉伸，重新分配图像像素值，使一定灰度范围内的像素数量大致相同。(Histogram equalization, image processing to the fog, is the original image histogram to a gray scale from the more concentrated into the full range of uniform distribution within the gray area. Histogram equalization is that the image is non-linear stretch, re-distribution of the image pixel values, so that a certain number of pixels within the gray area roughly the same.)

说明：  在matlab的gui中画出手写数字识别的gui(Draw the GUI of handwritten numeral recognition in the GUI of MATLAB)

基于形状的灰度共生矩阵的图像检索，利用基元扫描图像(Shape-based image retrieval GLCM, using primitive scanned image)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)

碰撞检测完整实例 (Complete example of collision detection)

图像的阈值分割，基于matlab的一维非广延熵Tsallis熵算法的灰度图像分割(Image segmentation, matlab-based one-dimensional non-extended entropy Tsallis entropy algorithm gray-scale image segmentation)

说明：  多种边缘检测算子对比 不需要改动 有sobel prewittts canny log(Multiple edge detection operators)

基于KSVD算法的图像去噪算法，稀疏表示，字典学习，OMP算法，基于DCT字典的图像去噪，demo可以直接运行。(Image denoising by KSVD algorithm，spare representation，dictionary learning，OMP algorithm，DCT dictionary)

a file abaut image segmentation