کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
529593 869680 2006 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Combining geometrical and textured information to perform image classification
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Combining geometrical and textured information to perform image classification
چکیده انگلیسی

In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. Using a decomposition algorithm inspired by the recent work of Y. Meyer, we can get two channels from the original image to classify: one containing the geometrical information, and the other the texture. Using the logic framework by Chan and Sandberg, we can then combine the information from both channels in a user definable way. Thus, we design a classification algorithm in which the different classes are characterized both from geometrical and textured features. Since natural images are combinations of both textured and non textured patterns, this integrative approach enlarges the scope of possible applications for active contours-based classification algorithms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 17, Issue 5, October 2006, Pages 1004–1023
نویسندگان
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