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Author Kumar, Sushil ♦ Kumar, Pravesh ♦ Sharma, Tarun Kumar ♦ Pant, Millie
Source SpringerLink
Content type Text
Publisher Springer Berlin Heidelberg
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Otsu method ♦ Thresholding ♦ Image segmentation ♦ MRLDE ♦ PSO ♦ ABC ♦ ApplicationMathematics/Computational Methods of Engineering ♦ Artificial Intelligence (incl. Robotics) ♦ Statistical Physics, Dynamical Systems and Complexity ♦ Control, Robotics, Mechatronics ♦ Bioinformatics ♦ Applications of Mathematics
Abstract Image segmentation is required to be studied in detail some particular features (areas of interest) of a digital image. It forms an important and exigent part of image processing and requires an exhaustive and robust search technique for its implementation. In the present work we have studied the working of MRLDE, a newly proposed variant of differential evolution combined with Otsu method, a well known image segmentation method for bi-level thresholding. The proposed variant, termed as Otsu+MRLDE, is tested on a set of 10 images and the results are compared with Otsu method and some other well known metaheuristics.
ISSN 18659284
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-08-28
Publisher Place Berlin, Heidelberg
e-ISSN 18659292
Journal Memetic Computing
Volume Number 5
Issue Number 4
Page Count 12
Starting Page 323
Ending Page 334

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Source: SpringerLink