Planar Shape Recognition and Classification Based Chain-Codes Direction Function

• Main Authors: Dai, S.K., 戴紹國
• Other Authors: Shang-Juh Kao
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/05181374131058573592

碩士 === 國立中興大學 === 應用數學系 === 86 === In this paper, an approach to shape recognition/ classification based on Di-rection Flow Change (DFC) function and extended WLD method is presented. The DFC function is able to locate a set of critical points for a shape. A sequence of angles corresponding to these critical points can be computed to serve as the major features of a shape image. The extended WLD method measures the distance between two arbitary shapes whose representation are sequences ofangles. Using DFC function to find critical points is very efficient. Shaperecognition/ classification becomes very flexible of the extended WLD methodis both effective and robust for planar shape recognition/ classification.