کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383425 660820 2012 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Topological Active Models optimization with Differential Evolution
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Topological Active Models optimization with Differential Evolution
چکیده انگلیسی

The Topological Active Model is an active model focused on segmentation tasks. It provides information about the surfaces and the inside of the detected objects in the scene. The segmentation process turns into a minimization task of the energy functions which control the model deformation. In this work we propose a new optimization method of the segmentation model that uses Differential Evolution as an alternative evolutionary method that minimizes the decisions of the designer with respect to others such as genetic algorithms. Moreover, we hybridized Differential Evolution with a greedy search to integrate the advantages of global and local searches at the same time that the segmentation speed is improved. We also included in the local search the possibility of topological changes to perform a better adjustment in complex surfaces, topological changes that introduce the necessary mechanism to divide the mesh in the case of the presence of several objects in the scene.


► A new method for the optimization of the Topological Active Model is proposed.
► This approach is an evolutionary method based on Differential Evolution (DE).
► The DE approach introduces advantages with respect to the classic GA algorithm.
► A hybrid combination of DE with a local greedy search was also developed.
► The hybridized DE introduces the possibility of topological changes for better segmentations in complex images.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 15, 1 November 2012, Pages 12165–12176
نویسندگان
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