摘要
采用一种基于相对熵的水下图像模糊增强算法对深海结核分布丰度图像进行处理。该算法首先使用基于阈值选取的图像分割原理确定一个阈值参数,然后根据此阈值参数定义隶属函数,从而将图像转化为等效的图像模糊特征平面,通过在模糊平面上采用相对熵的算法对图像进行增强运算,最后实现对图像的边缘检测。仿真结果表明该算法是有效的。
Based on relative entropy, a new fuzzy enhancement algorithm for underwater image is proposed, firstly, a threshold is selected in an image by using image segmentation principle based on selecting threshold. Secondly,in order to extract the fuzzy property plane from the spatial domain, a membership function based on the threshold is used. Thirdly, image enhancement is performed in the fuzzy domain by using fuzzy enhancement operators. Finally, the edge detection is executed using relative entropy. The effectiveness of the algorithm is experimentally demonstrated.
出处
《现代电子技术》
2008年第4期142-144,共3页
Modern Electronics Technique
基金
国际海底区域研究开发"十五"项目(DY105-03-02-06)
国家重点基础研究发展规划项目(2002CB312203)
国家自然科学基金(60505018)资助
关键词
水下图像
模糊增强
隶属函数
边缘检测
underwater image
fuzzy enhancement
membership function
edge detection
