bma

Python 分水岭算法 用于图像分割等图像处理(Python watershed algorithm)

基于K-means的优化聚类中心的图像分割算法，改进了FCM算法的缺点(Based on the optimization of K-means clustering center image segmentation algorithm to improve the shortcomings of the FCM algorithm )

实现对酒瓶子的边缘检测，背景差分，垂直和水平投影等，并可实现计数功能。(Achieve the bottles of edge detection, background difference, the vertical and horizontal projection, and to achieve counting.)

说明：  灰图像三级小波分解，以lena图像为例。(Gray image 3 wavelet decomposition to lena image as an example.)

分割图像中的有效数字,抗噪声，抗直线，斜线，粘连字符分割，旋转角度最大支持5度(Effective image segmentation figures, anti-noise, anti-straight, slash, adhesion character segmentation, rotation angle of 5 degrees maximum support)

程序代码说明 细胞边缘检测及癌细胞识别系统P0701：细胞边缘检测 P0702：癌细胞形态学分析 P0703：癌细胞颜色分析 (Program code that edge detection and cancer cells Identification System P0701: cell edge detection P0702: morphological analysis of cells P0703: color analysis of cells)

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

楔波变换，在SAR图像中实现边缘检测，为目标识别做铺垫工作。(The wedge waves transform, SAR image edge detection, target identification pave the way for the work.)

通过Gabor原子库对语音信号进行处理，用到匹配追踪算法，对各种语音信号的仿真实验都很成功。(Gabor atoms is through the voice signal processing, matching pursuit algorithm is used, on the simulation of various audio signals are successfully.)

MATLAB的一个源文件。用差分直方图位移的可逆数字水印实现图像的完整性认证。(MATLAB as a source file. Histogram using differential displacement reversible digital watermarking images realize the integrity of certification.)