geo_feature_image

说明：  基于matlab的五种图像处理边缘检测算子(Five image edge detection methods based on matlab)

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

基于自适应技术的遗传算法matlab源码，可应用于图像的去噪处理(based on adaptive technology GA Matlab source can be applied to the image denoising)

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))

能够对采集到的连续信号进行傅里叶变换，以进行后续处理(It can carry out Fourier transform to collect continuous signals for subsequent processing.)

基于分水岭的迭代式分割算法演示，基于matlab7.6，可有效并且准确的分割目标图像(A demo for image segmentation using iterative watersheding plus ridge detection)

关于阈值处理的一部分参考文献，对于图像的二值化等很有帮助，是经过精心选择的参考文件。(References on the part of the processing threshold for image binarization helpful, is carefully selected reference files.)

说明：  贝叶斯压缩感知例子 Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.(Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.)

通过稀疏重构一幅自然图像，使得该图像重新生成，同时找出稀疏系数。(One kind of denoising signal sparse representation)

Markov随机场的例子程序，包括ICM，BP算法，matlab编写，共30几个函数。(Markov random field examples of procedures, including ICM, BP algorithm, matlab prepared a total of 30 number of functions.)