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Optimization-Based Image Segmentation by Genetic Algorithms

التفاصيل البيبلوغرافية
العنوان: Optimization-Based Image Segmentation by Genetic Algorithms
المؤلفون: Rosenberger C, Emile B, Laurent H, Chabrier S
المصدر: EURASIP Journal on Image and Video Processing, Vol 2008, Iss 1, p 842029 (2008)
بيانات النشر: SpringerOpen, 2008.
سنة النشر: 2008
المجموعة: LCC:Electronics
مصطلحات موضوعية: Electronics, TK7800-8360
الوصف: Abstract Many works in the literature focus on the definition of evaluation metrics and criteria that enable to quantify the performance of an image processing algorithm. These evaluation criteria can be used to define new image processing algorithms by optimizing them. In this paper, we propose a general scheme to segment images by a genetic algorithm. The developed method uses an evaluation criterion which quantifies the quality of an image segmentation result. The proposed segmentation method can integrate a local ground truth when it is available in order to set the desired level of precision of the final result. A genetic algorithm is then used in order to determine the best combination of information extracted by the selected criterion. Then, we show that this approach can either be applied for gray-levels or multicomponents images in a supervised context or in an unsupervised one. Last, we show the efficiency of the proposed method through some experimental results on several gray-levels and multicomponents images.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-5176
1687-5281
Relation: http://jivp.eurasipjournals.com/content/2008/842029; https://doaj.org/toc/1687-5176; https://doaj.org/toc/1687-5281
URL الوصول: https://doaj.org/article/1b6780d0a13747bda3d5dcf0681e6134
رقم الأكسشن: edsdoj.1b6780d0a13747bda3d5dcf0681e6134
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16875176
16875281