Application of image segmentation ostu more Otsu threshold method, matlab source...

可以绑定float类型的编辑控件，克服VCIDE控件绑定时的缺陷。-Can bind float types of editorial control, to overcome the binding VCIDE control deficiencies at the time.

使用分水岭算法实现图像的分割，并对直方图统计。-The use of the watershed image segmentation algorithm and histogram statistics.

该函数采用kmeans法进行阈值分割 二值化kmeans.c-The function kmeans method using threshold segmentation kmeans.c Binarization

直方图均衡化的实例，大家在对图像对比度增强时必须得用到的经典程序，VC实现，简单易用，带图片可测试。-histogram equalization example, everyone in the image contrast enhancement to be used in the classic procedure, VC, simple and easy to be tested with pictures.

数学形态学膨胀 腐蚀 细化算法等基本的处理-Mathematical morphology corrosion thinning algorithm, such as expansion of basic treatment

Matlab环境下的几个数字图像处理实验，包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等-Several digital image processing experiments, including gray transform, histogram equalization, histogram matching, neighborhood average, local increase, median filtering and image sharpening, etc.

有关vtk的一些pdf资料，包括： 1.和国外一些朋友讨论VTK的一些经验的整理 2.基于VTK的医学三维可视化分析系统 3.基于VTK库的医学图像处理子系统设计和实现 4.可视化工具VTK技术研究-Some of the vtk pdf information, including: 1. And some foreign friends to discuss some of the experiences of the order VTK 2. VTK-based visualization of the medical system 3. VTK library based on medical image processing subsystem design and implementation 4. visualization tools VTK Technology

模式识别和智能计算的相关软件。注意：这并不是源代码，而是一个软件。但可以了解图像处理的效果。-Pattern recognition and intelligent computing related software. Note: This is not the source code, but a software. But you can understand the image processing results.

信息压缩中一种常见的编码---霍夫曼编码的源程序代码-Information Compression in a common coding- Huffman coding of the source code

本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景 物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的 多光谱图像配准算法。-In this paper, multi-spectral image registration between images in different spectral gray there is a big difference, the same scene in different performance characteristics of band varies and so on, based on mutual information similarity measure for multi-spectral image registration algorithm .