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一个基于Gabor滤波器组的多特征融合的图像检索算法（CBIR based on Multi-Features Combining Multi-parameters from Gabor Filter-bank, 简称multi法），融合了基于Gabor 小波系数的标准方差，峰态，能量，平滑度和一致性度量五个特征量度，实验表明，该算法是一种更加有效的图像检索方法。(we propose a CBIR algorithm based on Multi-Features Combining Multi-parameters from Gabor Filter-bank(called multi algorithm for short), which use Gabor filter banks and combine five features including standard deviation, kurtosis, energy, smoothness and uniformity together. The results of experiments show that this algorithm is a more effective method used for image retrieval.)

说明：  高光谱遥感图像光谱解混的独立成分分析技术(Independent component analysis technique for spectral unmixing of hyperspectral remote sensing images)

图像处理的简单程序，适合初学者，自己好好看看(Simple image processing procedures, suitable for beginners, its a good look)

DPCM 图像的线性预测编码 有完整的运行界面使用简单(DPCM image of linear predictive coding to run a complete easy to use interface)

说明：  一种可用的相位恢复算法，做图像处理的同学们可以参考-A effective phase retri algorithm(phase retri algorithm)

本人开发的火焰识别程序，包括otsu自适应阈值，canny边缘检测，形态学膨胀、腐蚀操作，尖角判别，圆形度计算。在vc下编译通过。(development of the flame identification procedures, including otsu adaptive threshold, canny edge detection, Morphological expansion, corrosion operation, pointed discriminant, circular calculation. Under the vc compile.)

基于小波变换的人脸识别代码本代码对图像进行小波分解，然后又用最近邻方法实现了图像的识别。(Face Recognition Based on Wavelet Transform code-wavelet based face recognition, the code of the image wavelet decomposition, and then with the nearest neighbor method to achieve the image recognition!)

此算法实现了分形图形分形树的一种叠代算法的实现过程。它充分利用了叠代的思想(algorithm achieved a fractal graphics fractal tree an iterative algorithm implementation process. It makes full use of iterative thinking)

说明：  彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.(This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.)

角点检测的概述，是一篇文章，介绍了角点检测的发展和现状(coener detection)