Context-Aware-Saliency-Detection

车牌识别 里面包含了程序源代码还有图像，对彩色图片识别大有用处 (chepai shibie)

自适应直方图均衡算法，对彩色图像的处理，有很好的效果。尤其是针对医学图像，内窥镜图像。(Adaptive histogram equalization algorithm for color image processing, have a good effect. Especially for medical images, endoscopic images.)

一种基于DCT域盲数字水印嵌入程序，在DCT中频系数中嵌入水印，恢复時不用用到原始图像。(Based on DCT-domain blind digital watermark embedding process, in the intermediate frequency DCT coefficients to embed watermarks, when not used to restore the original image.)

说明：  均值比差异图生成，用于SAR图像变化检测，生成差异图(mean ratio difference map generation, used for SAR image change detection, generate difference map)

应用kmean均值聚类方法对RGB,HSR图像的分割算法，个人觉得自己变得还可以，希望大家借鉴。(application kmean means clustering method of RGB, neighborhood image segmentation algorithm, individuals feel that they can become the hope that you learn from.)

实现图像文件（如bmp等）的读取、显示、真彩图转换成灰度图、灰度图转化为二值图及绘制图像直方图功能。(Achieve an image file (such as bmp, etc.) to read, display, true color conversion to grayscale, converted to grayscale and binary image histogram function to draw the image.)

运用susan算法进行角点检测，并在图中显示出来(Application susan corner detection algorithm and displayed in the drawing)

最小二乘匹配，图像匹配算法，需要初始匹配坐标，可以达到亚像素精度(least squares matching, image matching algorithm, the initial need to match coordinates, can reach sub-pixel accuracy)

灰度图像的二维傅里叶变换(cv_gray_fft2)，二维傅里叶变换结果的幅值计算(cv_abs)，频谱平移(cv_gray_fft2shift)，将数值归一化到0到255区间(cv_range_0to255)是非常常用的四个功能！所以写成四个函数，方便将来调用！附运行截图~并附对应的MATLAB程序！(Dimensional Fourier transform of the grayscale image (cv_gray fft2), two-dimensional Fourier transform results to calculate the amplitude (cv_abs), spectral translation (cv_gray_fft2shift), the value normalized to range 0 to 255 (cv_range_0to255) is very common four function! so written as four function to facilitate future calls! attached run shot- along with the corresponding MATLAB program!)

压缩文件中的代码可以读取图片并计算绿色植被的归一化植被指数，直接在IDL中打开即可使用(The code in the compressed file can read pictures and calculate the normalized vegetation index of green vegetation,and you can open it directly in IDL and use it.)