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数字图像处理中的散度特征空间中的无监督的图像纹理分割(Digital image processing in the feature space of divergence Unsupervised texture segmentation of images)

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)

zernike不变矩。特征提取方法。基于形状的特征提取方法。(zernike moment invariants. Feature extraction methods. Shape-based feature extraction method.)

说明：  四种算子(sobel,prewitt,roberts,marr)进行图像边缘检测的matlab源码.(Operators of four (sobel, prewitt, roberts, marr) image edge detection matlab source.)

图像预处理：分水岭分割算法，图像灰度化、高斯平滑、均衡直方图、图像对比度增强(Image Pre-processing: a watershed segmentation algorithm, images of gray-scale, Gaussian smoothing, balanced histogram, image contrast enhancement)

基于二维直方图的最大模糊熵阈值图像分割，相比于一维最大模糊熵，分割效果更好。隶属度函数采用S函数(Based on two-dimensional histogram maximum fuzzy entropy threshold image segmentation, compared to one-dimensional maximum fuzzy entropy segmentation better)

各种图像处理算法集合，包括灰度、滤波等，已调试，可用。(Collection of a variety of image processing algorithms, including grayscale, filtering, etc.)

说明：  K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

对于智能天线的设计仿真 包含有详细的说明,不错的源码(For the design of the smart antenna simulation contains detailed instructions, good source)

说明：  带精英决策的多目标优化关键程序之遗传算法主程序(Main program of genetic algorithm for key program of multi-objective optimization with elite decision)