A Hierarchical Approach to Extracting Polygons based on Perceptual Grouping

시각적 인지에 의한 다각형 검출의 계층적 방법

초록

Presented in this paper is a method of extracting linear components and polygons in images based on perceptual grouping. In order to reduce the search space which occurs in grouping linear primitives, the method introduces a token-sorting algorithm, where the primitives are sorted according to their slopes and the x-y coordinates of their ending points after the tokens are related by the angle of the slope. Experimental results demonstrate that the proposed method is more noise-insensitive and more efficient than conventional methods based on Hough transform in the aspects of storage and computation.

제목
A Hierarchical Approach to Extracting Polygons based on Perceptual Grouping
제목 (타언어)
시각적 인지에 의한 다각형 검출의 계층적 방법
저자
HAKIL KIM
학회명
Proceedings of 1994 IEEE International Conference on Systems, Man, and Cybernetics