Digital Image Segmentation Techniques on Comparison and Applications

• Main Authors: Chien-Ben Wang, 王建斌
• Other Authors: Wen-Yu Su
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/69699295629653348377

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 91 === Image segmentation sees in many applications such as image database retrieval, document processing, optical character recognition, and etc. A good segmentation results in better performance of applications. In this thesis, several image segmentation techniques are studied. They are edge based, texture based, knowledge based and color based techniques. We successfully implement the algorithms and test their feasibility. The algorithms are applied to both nature images and document images and their performance are compared. Finally, the computational complexities of these algorithms are compared. The advantages and disadvantages of them are discussed.