DocumentCode :
3567558
Title :
Characterization and Numerical Evaluation of a Color Image Segmentation Method
Author :
Alvarado-Cervantes, Rodolfo ; Felipe-Riveron, Edgardo M. ; Khartchenko, Vladislav
Author_Institution :
Fac. de Estudios Super. Cuautitlan, Univ. Nac. Autonoma de Mexico, Cuautitlan, Mexico
fYear :
2014
Firstpage :
52
Lastpage :
56
Abstract :
We present a characterization and a numerical evaluation of an own semi-automatic color image segmentation method using generated synthetic images with its associated ground truth. The evaluation methodology was designed to assess the efficiency of the resulting color information achieved from color segmentation algorithms. By the use of ROC curves and its analysis, we obtained some particular characteristics of our segmentation method, such as the level of sensibility related to the threshold selection and to the appropriate number of pixels to have by the color sample needed by the algorithm.
Keywords :
image colour analysis; image segmentation; numerical analysis; ROC curves; color information; ground truth; image characterization; image pixels; numerical evaluation; semiautomatic color image segmentation method; synthetic images; threshold selection; Algorithm design and analysis; Color; Colored noise; Image color analysis; Image segmentation; Signal to noise ratio; Color segmentation characterization; Color segmentation evaluation; ROC curves evaluation; Synthetic color image generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence (MICAI), 2014 13th Mexican International Conference on
Print_ISBN :
978-1-4673-7010-3
Type :
conf
DOI :
10.1109/MICAI.2014.14
Filename :
7222842
Link To Document :
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