MRF-SAR-segment

说明：  水表图像识别 图像预处理 哈哈就不懂四周(Water Meter Image Recognition)

说明：  这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)

基于压缩感知理论的超分辨率重建 实用程序包含论文中的试验(Super-resolution reconstruction based on compressive sensing theory The software reproduces the experiments published in the paper)

形态学成分分析，该方法的基本思想是利用信号组成成分的形态差异，将图像分割为纹理和分片光滑部分。(Morphological Component Analysis，The basic point is that an image can be divided into texture and piecewise smooth parts by the morphological diversity among signal components.)

matlab处理火焰视频，基于火焰亮度阈值，计算火焰高度宽度和间歇性。(Matlab processes the flame video and calculates the flame width and intermittency based on the flame brightness threshold.)

说明：  基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)

这是图象处理模式识别一书的源代码，包括C++和MATLAB的程序，对于做这方面的研究人员来说，会很有帮助的。(This is an image processing pattern recognition on the source code, including C and Matlab procedures for doing this kind of research personnel, will be very helpful.)

matlab图像稀疏表示的代码。比较详细。(Matlab image sparse representation of code.)

处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)

：数字水印技术作为数字媒体版权保护的有效办法，近年来在国内外引起了人们极大的兴趣。作者采用了DCT离散余弦变换的算法，对图像这种多媒体数字作品进行了数字水印的嵌入和检测研究。并且使用了高效实用的编程工具MATLAB来介绍了一种DCT域的图像数字水印嵌入和提取的(BASIC_WM.M ..........................................cellauto.m ..........................................dctwatermark.m ..........................................detectbasic_wm.m ..........................................plotcorr_coef.m ..........................................wavedetect.m ..........................................wavedetect2.m ..........................................wavemarksvd.m ..........................................wavemarksvd)