estarfm_update_20180727

CIE色度图, CIE 1931 RGB, CIE 1931 XYZ, CIE 1931 xyY(CIE chromaticity diagram, CIE 1931 RGB, CIE 1931 XYZ, CIE 1931 xyY)

基于颜色累加直方图的图像检索，可供初学者参考，matlab编程实现(Cumulative color histogram-based image retrieval, reference for beginners, matlab programming)

详细说明：几个关于图像灰度变换的程序。包括图像反色，图像的对数灰度变换，指数灰度变换，线性灰度变换，灰度切割，图像平均降噪。 (Several of the image gray-scale transformation process. Including anti-color image, the image of the number of gray level transformation, index gray-scale transformation, linear gray level transformation, gray cut, the average image noise.)

SVM支持向量机在图像分割中的应用，包含Matlab源代码和SVM所用函数。(SVM support vector machine applications, including image segmentation Matlab source code and functions used by SVM.)

基于形态学的权重自适应图像去噪；通过串并联的滤波降噪对比图，说明并联降噪的优越性(Heavy adaptive image denoising based on morphology right noise filtering by series-parallel comparison chart, show the advantages of parallel noise reduction)

基于模板匹配的人眼定位算法，代码简单易懂，定位精度高(The eye location algorithm based on template matching, the code simple, high positioning accuracy)

用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好(Using level set and morphological segmentation with the method of combining images, mainly for low-contrast medical images, better)

本设计主要目的是实现染色体的识别计数。首先对图形进行预处理，将图像转化为灰度图、滤波去噪，然后对图像进行二值化，合理选取阈值，进行直方图阈值处理，最后去除图像中面积过小的杂点，最终实现识别计数。(The main purpose of this design is to achieve the identification of chromosome count. The graphical pre-processing, the image is converted to grayscale, filtering denoising, image binarization, reasonable selection of the threshold, histogram thresholding, and finally remove the image area is too small noise , and ultimately identify the count.)

说明：  dct-svd域水印算法,实现数字水印图像在载体DCT-SVD域的隐藏(a kind of watermarking algorithm in DCT-SVD domain)

有关于求取图像相关系数的matlab M 文件；虽然很简单，但可以为你省去那么一点时间。 共享改变未来！(Correlation coefficient on the strike' s matlab M image file although very simple, but it can save you some time. Share changes in the future!)