hybrid-particle-swarm-optimization

图像的纹理特征参数的灰度共生矩阵的计算，该方法效果好，速度快，易理解。(The image texture characteristic parameters GLCM calculation, the method effective, fast, easy to understand.)

简单图像颜色特征提取，用于自己使用，基本常规的那种(Simple Image Color Feature Extraction)

数字图像处理中常用的标准图像，包括大家所共知的lena等图片的高分辨率版本，推荐大家下载(Commonly used in digital image processing standard images, including all the known to the lena and other high-resolution version of the picture, we recommend downloading)

特征提取: 提取了图像中各个标记区域的纹理特征及形状特征,标注详细(King Lek qiong 取: Joan 取了 Minghao Shilu rude plugging 各个标记区 的 理 Canton King Lek Lek 及 near Durian King, 标 downtown Circle Jiu)

基于Canny算子检测图像边缘，其中含有非极大值抑制功能。(Based on Canny operator edge detection image, which contains a non-maxima suppression.)

将没有exif文件信息的裸RAW数据转换成YUV422格式的数据.(Exif file information will not be the bare RAW data into YUV422 format.)

K均值 很好用的K均值代码 很好用的K均值代码(K-means K-means used in a very good code)

本工程在C6678上实现了BMP图像的读取，滤波，锐化等操作。可以作为多核DSP图像处理的资料，自己在CCS6平台上测试验证没有问题(This project has realized the reading, filtering and sharpening of the BMP image on C6678. It can be used as a multi-core DSP image processing data, and to test validation on the CCS6 platform)

说明：  进行图像的特征提取，为图像拼接做准备，matlab(Feature extraction of image)

给予matlab的JPEG压缩程序，包含原始压缩图片，程序对灰度bmp图片进行JEPG编码，压缩成以0101形式的编码。JPEG编码先把图象色彩RBG变成亮度Y和色度Cr、Cb，它利用人的视觉对色度不敏感的特点，减少一部分色度数据，以达到压缩。 JPEG采取多种编码方式，包含有行程编码(Run Length Coding)和哈夫曼(Huffman)编码，有很高的压缩比。在编码前，先对数据进行分块，离散余弦变换（DCT）及量化，保留能量大的低频信号，丢弃高频信号以达到压缩。(Given to the JPEG compression matlab program, contains the original compressed image, the program of the grayscale bmp picture JEPG encoded, compressed into a 0101 form of encoding. RBG color coded JPEG image into a first luminance Y and chrominance Cr, Cb, which uses the human visual characteristics is not sensitive to the color, reduce the number of color data to achieve compression. Take a variety of JPEG encoding, includes length coding (Run Length Coding) and Huffman (Huffman) coding, a high compression ratio. In the code before the data block, discrete cosine transform (DCT) and quantization, to retain a large low-frequency signal energy, discarding high-frequency signals in order to achieve compression.)