ECS-Imaging

在边缘检测之后得到的边缘不一定是完整的，利用这个函数可以将个线段生长一些，然后连接起来，成完整的形状(At the edge of the edge detection after get is not necessarily complete, use this function can be a line segment to grow some, and then connect, into the shape of a complete)

上下文意识的显著性检测，包含matlab代码和对应的CVPR2010论文。(It contains the paper Context-Aware Saliency Detection from CVPR2010 and it s matlab code. )

新的形态学图像增强，采用多尺度形态学增强算法，对图像进行增强(morphology image enhance )

说明：  自己实现的canny边缘检测算子，包括高斯滤波，非极大值抑制，双阈值处理，边缘细化等步骤。(Own implementation of canny edge detection operator, including the Gaussian filtering, non-maxima suppression, double threshold, edge thinning step.)

基于visual c++平台，相机标定方法中的直接线性变换方法，即DLT方法(Based on visual c++ platform, camera calibration method of direct linear transformation method, namely DLT method)

说明：  利用HOG算子实现电脑读取图像并进行面部识别与检测(Using hog operator to realize computer reading image and face recognition and detection)

水平集方法的实例演示,对于初学水平集的朋友有很多帮助。(Examples demonstrate the level set method, the level set for the beginner friends have a lot of help.)

最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。(least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum.)

统计图像中某区域在整个图像中所占的百分比.(comput the percentage of the gived area in the whole image)

说明：  根据文献Verification of color vegetation indices for automated crop imaging applications所述方法实现的可见光（RGB）的植被提取，效果非常好，压缩文件内附有该文献英文原文，以及部分供测试图片。(According to the method described in the document verification of color vegetation indexes for automated cross imaging applications, the effect of vegetation extraction of visible light (RGB) is very good. The original English version of the document and some test pictures are attached to the compressed file.)