gabor

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)

1. 理解彩色图像的颜色分层原理和方法 2. 利用颜色分层方法对彩色图像进行分层处理 3. 实现对身份证标准图像的背景分离和皮肤区域提取(1 understand the color image color layering principles and methods (2) the use of color layered approach for hierarchical processing of color images 3 to achieve the standard of identity and separation of the background image to extract the skin region)

单幅图象的暗原色先验去雾改进算法，能够很好地改进天空或明亮部分色彩失真问题，matlab代码注解详细，能很好地帮助理解算法过程。(improvement of a single image dehazing algorithm using dark channel prior,solving the problem of color distortion of sky and bright part!Having a good explain of the code,which could be helpful to understand the processing of the algorithm! )

弹流油膜数值计算画等高图，难以得到预想马蹄形特征，通过代码处理，可以方便的解决问题，得到满意的预想图(EHL film numerical draw contour map, it is difficult to obtain desired characteristic horseshoe, processing through the code, you can easily solve the problem, get a satisfactory RENDERING)

经典的数字图像处理的形态学处理，包含源代码(Digital image processing morphological processing)

c# 对任意网页进行截图 抓取

提取特征点并匹配，有基于相关系数和最小二乘两种方法。(Extracting feature points and matching)

实现对无噪声一维和二维信号的解缠，比较简单，入门级别(The realization of noise free one-dimensional and two-dimensional signal unwrapping is relatively simple, entry level.)

合成孔径雷达成像算法与实现（仿真代码） 书中光盘所附带的数据处理源码(SAR imaging algorithm and implementation (simulation code))

寻找最低像素值的matlab实现：通过图像矩阵的循环查找，能实现最低像素值的快速寻找(Matlab find the lowest pixel value to achieve: to find the cycle through the image matrix, to achieve the minimum pixel value Quick Find)