DocumentCode :
2900193
Title :
New method to count objects into an image
Author :
Sossa, Humberto ; Guzmán, Giovanni
Author_Institution :
Centro de Investigacion en Comput-IPN, Mexico City, Mexico
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
470
Abstract :
A new method to count the number of objects in an image via the skeleton of the image is presented. The technique can be applied to the case of convex or nonconvex elongated or nonelongated objects with a smooth contour without holes, different length, but similar thickness, and in the presence of occlusions. The number of objects or blobs in an image can be obtained as a function of two quantities: the number of terminal points (points with just one neighbor) and the number of three-edge-points (points with just three neighbors) in the skeleton of the image. The technique has been tested with a collection of one hundred syntactically generated images. In practically all cases, the technique has successfully given the desired result. Failures in the method are due to noise in the contour of the object
Keywords :
image recognition; convex objects; elongated objects; image skeleton; nonconvex objects; nonelongated objects; object counting; occlusions; smooth contour; terminal points; three-edge-points; Extraterrestrial measurements; Image databases; Image generation; Pathology; Pixel; Skeleton; Tellurium; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.905378
Filename :
905378
Link To Document :
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