人工智能
计算机科学
索贝尔算子
Prewitt算子
计算机视觉
模式识别(心理学)
图像分割
边缘检测
图像渐变
Canny边缘检测器
基于分割的对象分类
尺度空间分割
分割
图像纹理
图像(数学)
图像处理
作者
Y. Ramadevi,T. Sridevi,B. Poornima,Kalyani Bhole
出处
期刊:International Journal of Computer Science and Information Technology
[Academy and Industry Research Collaboration Center]
日期:2010-12-23
卷期号:2 (6): 153-161
被引量:98
标识
DOI:10.5121/ijcsit.2010.2614
摘要
Image segmentation is to partition an image into meaningful regions with respect to a particular application.Object recognition is the task of finding a given object in an image or video sequence.In this paper, interaction between image segmentation (using different edge detection methods) and object recognition are discussed.Edge detection methods such as Sobel, Prewitt, Roberts, Canny, Laplacian of Guassian(LoG) are used for segmenting the image.Expectation-Maximization (EM) algorithm, OSTU and Genetic algorithms were used to demonstrate the synergy between the segmented images and object recognition.
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