Automatic Clustering Using Metaheuristic Algorithms for Content Based Image Retrieval
عنوان مقاله: Automatic Clustering Using Metaheuristic Algorithms for Content Based Image Retrieval
شناسه ملی مقاله: COMCONF05_330
منتشر شده در پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی در سال 1396
شناسه ملی مقاله: COMCONF05_330
منتشر شده در پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی در سال 1396
مشخصات نویسندگان مقاله:
Javad Azarakhsh - Faculty of Marine Engineering, Chabahar Maritime University, Chabahar, Iran
Zobeir Raisi - Faculty of Marine Engineering, Chabahar Maritime University, Chabahar, Iran
خلاصه مقاله:
Javad Azarakhsh - Faculty of Marine Engineering, Chabahar Maritime University, Chabahar, Iran
Zobeir Raisi - Faculty of Marine Engineering, Chabahar Maritime University, Chabahar, Iran
Development of internet networks and mobile phone tools with image capturing capabilities and network connectivity within the recent years have led to defining new services and applications , using such tools. In this article, automatic clustering method using evolutionary and metaheuristic algorithms used in order to identify and categorize various kinds of digital images. For this purpose, a database of images prepared, and then k-means clustering method using evolutionary algorithms and optimization applied on these images. The results of retrieval indicate that automatic clustering using particle swarm optimization (PSO) algorithm has higher average retrieval accuracy in comparison with other methods
کلمات کلیدی: Image Retrieval, Feature Extraction, Automatic Clustering, Evolutionary and Metaheuristic Algorithms
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/725309/