CBIR_texture

图像识别起步。裂纹图像二值化及其骨架提取算法.(Image recognition.Crack image binarization and skeleton extraction algorithm is proposed.)

在空间域上进行特征提取，用于局部或全局的特征检测，结合广义高斯分布，实现图像的质量评价(Feature extraction is carried out on the spatial domain, which is used for local or global feature detection, and the image quality evaluation is realized by combining the generalized gaussian distribution.)

基于小波模极大值贝叶斯阈值算法，实现图像吐糟的功能，与其他去噪方法进行对比。(Based on wavelet modulus maxima Bayesian threshold algorithm, spit bad image features comparison with other denoising methods.)

在ccs编程环境中，用c语言实现对图像均值滤波的处理。(In ccs programming environment, using c language mean filtering the image processing.)

Segmentation of MRI using fuzzy connectedness

说明：  给图像加高斯白噪声,里面有详细的代码，我不知道该说些什么，只是觉得很好(gaussian noise Why must I be forced to write so many words?)

基于IHS的图像融合算法,用高分辨率图像替换I分量(Based on the IHS image fusion algorithm using high-resolution images to replace I-component)

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.)

图像DFT，C语言编写的代码，附带几个另外的处理，(Image DFT, C language code, with some additional processing,)

实现对图像的经验模态分解，得到经验模态分解后的第一层IMF分量，反映了图像的主要信息，去除冗余信息，为识别提供了基础。(Empirical mode decomposition of image, obtain the empirical mode decomposition of the first layer of IMF component, reflected the main information of the image, to remove redundant information, provide the basis for identification. )