Title :
Measuring shape: ellipticity, rectangularity, and triangularity
Author_Institution :
Dept. of Comput. Sci., Cardiff Univ., UK
Abstract :
Object classification often operates by making decisions based on the values of several shape properties measured from the image. The paper describes and tests several algorithms for calculating ellipticity, rectangularity, and triangularity shape descriptors
Keywords :
approximation theory; computer vision; dynamic programming; image classification; invariance; ellipticity; object classification; rectangularity; shape descriptors; shape properties; triangularity; Computer science; Computer vision; Discrete Fourier transforms; Image color analysis; Image texture analysis; Measurement standards; Noise shaping; Robustness; Shape measurement; Testing;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905609
