DocumentCode :
2162043
Title :
Counting objects in an image by marker controlled watershed segmentation and thresholding
Author :
Rahman, Md Saifur ; Islam, Md Rafiqul
Author_Institution :
Dept. of Comput. Sci., American Int. Univ. - Bangladesh, Dhaka, Bangladesh
fYear :
2013
fDate :
22-23 Feb. 2013
Firstpage :
1251
Lastpage :
1256
Abstract :
Object counting in an image is one of the major challenges in image processing. Image segmentation is used to segregate similar particles which help counting approximate total number of particles. Watershed segmentation technique is considered to be most efficient technique to solve problems of segregation contiguous objects. Thresholding technique is needed for counting objects in an image. Counting only with thresholding technique can give wrong impression. Using marker controlled watershed segmentation along with thresholding technique gives satisfactory result.
Keywords :
image segmentation; image processing; marker controlled watershed segmentation; object counting; object segregation; thresholding technique; Conferences; Image reconstruction; Image segmentation; Noise; Surface topography; Transforms; Marker controlled watershed segmentation; count; image processing; separation; thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2013 IEEE 3rd International
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4673-4527-9
Type :
conf
DOI :
10.1109/IAdCC.2013.6514407
Filename :
6514407
Link To Document :
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