fina_deconvolution_code

基于K均值聚类的图像分割，灰度图像分割案例，真彩图像分割案例(K-means clustering-based image segmentation, image segmentation case, the true color image segmentation case)

数据挖掘讲义第一章基础知识,PDF文件大小约400K()

自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

ASIFT图像特征提取源代码，有测试图片和demo(ASIFT image feature extraction source code, test images and demo)

实现给定图像中目标的有效监测，并根据颜色对目标分割。(The object can be detector, and it is segmented by the color.)

很有用的彩色图像分割方法，经本人实验，绝对可靠(Very useful for color image segmentation method, by my experiment, absolutely reliable)

这本是用VC++来实现图像处理的书藉,对于学习图像处理的来说是非常有用的.(This is VC++ to realize image processing books, for learning image processing is very useful.)

说明：  基于谱聚类和SVM相结合的图像分割程序，在matlab2016b中运行成功(Image segmentation program based on spectral clustering and SVM)

1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。 2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。 3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)

详细设计了基于颜色直方图的图像检索 效果不错 计算速度快(Detailed design of the color histogram-based image retrieval good results fast calculation)