M_map1.4j工具箱官方中文版使用说明及示例

用于高光谱图像处理的最小噪声分离变换方法。(HYPERMNF Performs the minimum noise fraction (MNF) transform hyperMnf performs the minimum noise fraction (MNF) transform on the data and uses spatial (row) offsets of the data to estimate the covariance matrix of the data. Usage )

多种不同的图像滤波Matlab源码，包括威纳滤波、小波滤波、贝叶斯滤波、LEE滤波、frost滤波、kuan滤波等。(A variety of different image filter Matlab source, including wei, filter, wavelet filter, bayesian filtering, LEE filtering, frost filtering, kuan filtering, etc. )

用C语言实现最优化算法中的黄金分割法！！(optimization algorithm using c)

说明：  基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

对立体视觉的双目图像进行极线校正，以实现双目致密匹配(Of three-dimensional visual image of the binocular epipolar rectification to realize dense binocular matching)

自主选择性的查看一幅图像中的部分区域的颜色直方图：允许用户在一幅图像中选择一个矩形区域，通过按住鼠标键画一个矩形，当鼠标放开是，高亮显示矩形框，同时在另一个独立的窗口中，使用画图函数画一个图表（选定区域的颜色直方图），分别用蓝，绿，红表示选中区域中每种颜色的像素数量。(Self-selective color in an image to view a partial area of ​ ​ the histogram: Allows the user to select a rectangular area in an image by holding down the mouse button to draw a rectangle when the mouse is released, the highlighted rectangle, Meanwhile in a separate window, using the drawing functions to draw a chart (selected color histogram region), respectively, with blue, green, red indicates the number of pixels in the selected area of ​ ​ each color.)

说明：  实现图像分类，可完成对图像的多分类问题，效果较好(Realize image classification, can complete the multi-classification of images, the effect is better)

來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ，其功能為透過分析影像中的直方圖統計資訊，達到快速增強影像對比的結果。(From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution"which functions as a histogram of the image by analyzing statistical information, to quickly enhance image contrast.)

matlab嵌入水印源程序 在matlab中实现数字水印的嵌入，提取和检测(Matlab source watermark embedded in Matlab achieve digital watermark embedding and extraction and detection)

使用contourlet变换对图像进行去噪处理(Image denoising using contourlet transform)