Entropy

一个短小精悍的分水岭算法,用Matlab实现,程序简单易懂(A dapper watershed algorithm, using Matlab implementation, the program easy-to-read)

说明：  根据差影法采取视频中两帧进行对比，得出差别的地方进行目标特征提取(Comparison of two frames in video based on difference method,And get the difference to extract the target features)

ORB和FREAK局部特征对比实验ORB_FREAK(ORB and FREAK local features of comparative experiments ORB_FREAK)

基于小波包图像去噪 很好用的程序 小波去噪(Good use of the procedure of wavelet denoising based on wavelet packet image denoising)

用于图像处理的陷波滤波器. m文件，有例子说明。(Notch filter notch filter. M file, there are examples.)

改进的JPEG算法 可用于MPEG-2帧内编码部分(The JPEG algorithm can be used to improve MPEG-2 intra coding part)

说明：  结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)

一个颜色直方图的matlab源码，备注非常详细，可以实现(A color histogram matlab source code, notes are very detailed, can be achieved)

本文主要介绍遗传算法的基本理论，叙述遗传算法在图像增强的的主要应用，即将原始图像变得更加清晰，特征变得更加明显。 现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又克服了传统直方图均衡化处理所造成的灰度级损失等缺点。 通过实验去表明，遗传算法从全局寻优的角度出发，能够较为精确地估计退化系统函数。和传统的线性增强、直方图均衡进行比较。实验结果表明该方法能改善原图像视觉效果，便于之后的图像分析。 (This paper mainly introduces the basic theory of genetic algorithm, genetic algorithm (ga) in the main application of image enhancement, the original image is more clear, characteristic becomes more obvious. Today about the image enhancement algorithm are many, and most of these algorithms is based on the degradation function or the knowledge of the point spread function of image processing. When the image appears fuzzy or noise influence, designed the image clarity of effect must not ideal, therefore it is necessary to enhance the image. Then, genetic algorithm is available to the mature and stable evolution of the global optimization algorithm, for image enhancement, due to less genetic algorithm control parameters, since the high fitness, will choose the method of image degradation, respectively, to manipulate the different motivation. It can enhance the image contrast, and overcome the traditional histogram equalization processing grayscale loss caused by the faults. Throug)

生成归一化植被指数(NDVI)数据产品及图象产品的IDL源程序(that GIS is likely to have own itself advantages in sample selection, presentation of findings and future record collation (Department for Environment, Food and Rural Affairs, 2007). It indicates that to imply GIS software for mapping hedgerows may a reasonable and good choice.)