DocumentCode :
2632965
Title :
Nose bug egg geometric structure segmentation with anisotropic filtering and edge enhancement
Author :
Chacon, Mario I. ; Nevarez, Mitzy ; Licon, Angel ; Solis, Francisco J. ; Cordoba, Lucina ; Martinez, Alejandro
Author_Institution :
DSP & Vision Lab., Chihuahua Inst. of Technol., Chihuahua, Mexico
fYear :
2010
fDate :
23-25 May 2010
Firstpage :
133
Lastpage :
136
Abstract :
This paper presents a method to segment geometric structures from the Meccus Phyllosomus bug eggs. These structures are of interest because they may help on the taxonomy of the bug families and their possible hybrids. The segmentation method is based on the Perona - Malik anisotropic filtering to enhance the images. A tune in parameter process is proposed for the filter. After this filtering, proposed techniques to improve edge definition, removal of false positives and edge linking are applied to the bug images. Four segmentation performance metrics are used to evaluate the proposed method. Over 90% of the processed images present metrics greater than 0.7 indicating a high level of segmentation.
Keywords :
biological techniques; edge detection; image segmentation; medical image processing; scanning electron microscopy; zoology; Meccus Phyllosomus bug eggs; Perona-Malik anisotropic filtering; edge definition; edge enhancement; image segmentation; nose bug egg geometric structure segmentation; taxonomy; Anisotropic filters; Data mining; Digital signal processing; Equations; Humans; Image edge detection; Image enhancement; Image segmentation; Nose; Taxonomy; anisotropic filtering; edge detection; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7801-9
Type :
conf
DOI :
10.1109/SSIAI.2010.5483901
Filename :
5483901
Link To Document :
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