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