histogram-equalization

说明：  图像的重心区域检测 matlab程序实现 可以检测重心区域并设置成希望颜色，对单景物背景图像效果极佳(regional focus image detection Matlab program can detect regional focus and set hope that the color of single features excellent background images)

计算PSNR值，一个不错的算法，值得看一下(Calculation of PSNR value, a good algorithm, it is worth a look)

IDL关于图像感兴趣图像区域进行编辑并将结果输出，多ROI区域DN值信息比较(IDL about the region of the image interested in editing and exporting the results, and comparing the DN value information of the multiple ROI regions)

计算图像的几何不变矩—Hu矩，以及图像的相似度，在vc下实现。(Calculate the geometric image invariant moments-Hu moments, as well as the similarity of the image, achieved under vc.)

基于空域的脆弱水印，可以有效检测出图像发生篡改的区域(Airspace based on fragile watermarking can effectively detect the occurrence of tampering with the image of the region)

求一个图像的最大内接矩形面积。 步骤： 1.相机标定。首先根据物像关系式求出其中的参数。注意参数求出后要进行参数校验。 2.从背景中分离出目标 3.边缘检测 4.目标形状参数计算。(For an image of the largest inscribed rectangle area. Steps: 1. Camera calibration. First of all object-image relationship in accordance with the parameters obtained. Attention to the parameters obtained after parameter calibration. 2. From the context of isolated target 3. Edge detection 4. Target shape parameters.)

本程序可以使用图像处理算法对图片进行处理，对于一个含有各种物体的图片，如米粒，可以计算物体的个数。使用前请配置好opencv环境。希望对大家学习图像处理和opencv有所帮助...(This procedure can use the image processing algorithm for processing images for a picture with a variety of objects, such as a grain of rice, can calculate the number of objects. Configured before use opencv environment. We would like to learn opencv image processing and help ...)

通过背景差获取目标，提取车辆的不变矩，外加矩形度，圆形度，体态比等特征构成特征向量组，通过欧式距离识别出车辆。(through poor background, target acquisition, unchanged from the moment vehicles, plus rectangular, circular, Body composition characteristics than the eigenvector group, by the Continental distance identify vehicles.)

分别使用灰度值变换和频域滤波的方法实现图像的伪彩色处理。在Matlab中编程实现(The use of gray value, respectively, transform and frequency domain filtering method of pseudo-color image processing. Programming in Matlab in)

将RGB彩色空间转换到HSI彩色空间，HSI彩色空间更接近人眼对彩色的认知。(The RGB color space conversion to the HSI color space, HSI color space is closer to the human eye color perception.)