A Fuzzy Segmentation of Salient Region of Interest in Low Depth of Field Image

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• 作者：KeDai Zhang ; HanQing Lu ; ZhenYu Wang ; Qi Zhao ; MiYi Duan
• 刊名：Lecture Notes in Computer Science
• 出版年：2006
• 出版时间：2006
• 年：2006
• 卷：4351
• 期：1
• 页码：782-791
• 全文大小：2,385 KB
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Unsupervised segmenting region of interest in images is very useful in content-based application such as image indexing for content-based retrieval and target recognition. The proposed method applies fuzzy theory to separate the salient region of interest from background in low depth of field (DOF) images automatically. First the image is divided into regions based on mean shift method and the regions are characterized by color features and wavelet modulus maxima edge point densities. And then the regions are described as fuzzy sets by fuzzification. The salient region interest and background are separated by defuzzification on fuzzy sets finally. The segmentation method is full automatic and without empirical parameters.