摘要
根据复杂背景下昆虫彩色图像的特点,采用了一种融合颜色和空间信息的JSEG分割方法。首先对图像进行颜色量化,然后使用区域增长法合并较小区域从而实现图像分割。在实验中,利用JSEG分割方法分别对原图像和加白噪声后的图像进行分割,结果表明,JSEG算法对昆虫图像中的噪声不敏感,可以高效地实现复杂背景下昆虫彩色图像的分割。
A JSEG algorithm based on color and space information is presented for natural insects color image segmentation. Firstly, color quantization is performed on an image. Then, a region connected procedure is used to connect similar neighbors into bigger ones. In the experiments, both original images and noised images are segmented by JSEG method. Experimental results show that JSEG algorithm is insensitive to noise, and it is able to segment natural insects color images effectively.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第11期37-38,88,共3页
Computer Applications and Software
基金
国家自然科学基金项目(60573179)
关键词
图像分割
JSEG算法
颜色量化
Image segmentation JSEG algorithm Color quantization