classification

修改了冈萨雷斯《数字图像处理》中的区域生长法。本函数中含有三种选择种子点的方法：分别依据灰度值，种子点位置，交互式选择单个种子点。(Modified the region growing method described in "Digital Image Processing" . This function contains three options for the method of seed points: based on gray value, the location of the seed points, interactive selection of a single seed point. )

说明：  用C++实现的对数变换达到图像增强效果，代码亲测可用(Logarithmic transformation realized by C++ achieves image enhancement effect, and code pro-test is available.)

这是一个比较全面的傅里叶变换，例子中含有测试的图片，能让人更加明白傅里叶变换的处理效果。(This is a more comprehensive Fourier transform, the example contains a picture of the test, can make people more aware of the Fourier transform of the treatment effect.)

新的水下图像对比度增强和分割算法（实现对比度的增强和图像分割，内容包括：新的水下图像对比度增强算法、水下图像的分割算法--2008a）(The new underwater image contrast enhancement and segmentation algorithm (implemented contrast enhancement and image segmentation, including: new underwater image contrast enhancement algorithms, underwater image segmentation algorithm- 2008a))

中南大学数字图像处理上机实验指导书及参考答案，全部由本人编写，在MATLAB 6.5上运行通过。包括图像变换及频域滤波，空间域图像增强，图像边缘检测及参考图片，比网上流传的好的多，是学习图像处理的基础。(Zhongnan University of digital image processing on the experimental guide and reference book answers all prepared by me, MATLAB 6.5 to run through. Image Transform and including the frequency domain filtering and spatial domain image enhancement, edge detection and reference photographs, spread over the Internet much more study is the basis of image processing.)

伽马变换，直方图均衡化，直方图修正方案123，自适应全局直方图均衡局部锐化，中值滤波(Gamma transform, histogram equalization, histogram modification scheme 123, adaptive global histogram equalization local sharpen the median filter)

形态学图像增强算法，包括对比度增强和边缘锐化(Morphological image enhancement algorithms, including contrast enhancement and edge sharpening)

说明：  包括三种gabor方案，3尺度4方向、4尺度6方向、5尺度8方向(Includes three gabor schemes, 3 scale 4 direction, 4 scale 6 direction, 5 scale 8 direction)

通过对图像加燥，运用叠加运算对加燥后的图像进行去燥处理(Removal of Gauss noise by addition operation)

林健写的Matlab在图像处理与目标识别方面的应用实验，包括染色体识别与统计、汽车牌照定位与字符识别、基于BP神经网络识别字符的简单实验。 (Lam Kin Writing at the Matlab image processing and target recognition application experiments, including chromosome identification and statistics, vehicle license positioning and character recognition, based on BP neural network easy to identify characters in the experiment.)