This paper proposed a genetic clustering image segmentation algorithm on entropy 摘要设计了一种基于熵的遗传聚类分割算法。
C - means clustering method for medical color image segmentation and object extraction based on genetic algorithm 均值聚类分割医学彩色图像
To the noise , singular point , non - face area and the division of face area , this dissertation proposes filter , segmentation by clustering and area combination methods respectively ; to the detection of oriental faces in color images and complex context , the author combines the skin - color model based face rough detection and the ellipse based face location methods to one , then verify the candidate face by abstracting face features . experiment indicates that this algorithm is feasible and highly efficient 针对类肤色区域中的噪声、奇点、非人脸区域以及人脸区域被割离的情况,本文提出了滤波、聚类分割、区域合并等算法;针对人脸非人脸区域的的分割,修改并采取了椭圆模板定位的方法;针对“候选人脸”中出现的“虚警”问题,首先提取人脸面部特征,然后采取人脸验证算法加以验证。
Video object segmentation techniques are discussed , theories and techniques related to video segmentation are introduced and the existing typical algorithms of motion - based and spatiotemporal segmentation are analyzed and compared with the emphasis on analysis of spatiotemporal segmentation algorithms based on 3d region growing 本文以视频对象分割技术为研究课题,首先介绍视频分割相关的理论与技术,然后对现有的基于运动和基于时空域相关两大类分割算法进行对比研究,并把重点放在基于3d区域生长的时空域分割算法的分析上。
In view of the above mentioned problem , the author adopts information technology such as image processing and pattern recognition to research into the method of automatic analysis and classification . in accordance with the difficulty in medical image analysis ( for example , the background of microimage of section is complicated and is difficult to be segmented . ) , the paper puts forward two kinds of segmentation methods based on standardized colorful space and rgb and hsv colorful model 本文针对上述问题,用计算机图像处理及模式识别等信息技术对显微细胞图像的自动分析和分类的方法进行了研究,并针对医学图像分析中的难点(例如,显微切片图像背景复杂,分割困难) ,提出了基于归一化彩色空间和rgb , hsv彩色模型的两类分割方法:利用模式识别技术中关于特征向量空间聚类的方法实施真彩色分割。