Graphic object feature extraction system based on Cuckoo Search Algorithm. (30th December 2016)

• Record Type: Journal Article
• Authors: Woźniak, Marcin; Połap, Dawid; Napoli, Christian; Tramontana, Emiliano
• Is Part Of: Expert systems with applications. Volume 66(2016)
• Page Start: 20
• Page End: 31
• Publication Date: 2016-12-30
• Subjects: Image processing -- Key-Points search -- Computational Intelligence -- Heuristic methods; 68U10 -- 68T10 -- 68T01 -- 68T20; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2016.08.068
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: Novel approach to image feature extraction using Bio Inspired Methods. Simplified fitness condition to help in input image processing. Simplified image filtering tailored for Bio Inspired Methods. Solution works with or without ad-hoc filtering. Dedicated Cuckoo Search Algorithm for graphic applications. Abstract: Multimedia systems often use various detection methods to track relevant objects in images and video frames. The tracking scheme is often based on capturing of significant points in the object, which are used by implemented methods to extract the shape, dimensions, etc. and then further process these information. In recent years many advances in Computational Intelligence methods and approaches have been reported. Therefore the question has arisen if these, i.e. heuristics, are applicable to multimedia tracking systems? This article is to discuss developed heuristic methods for Key-Points tracking and shape extraction. In the following sections of this work developed approaches, in particular a dedicated Cuckoo Search Algorithm and Firefly Algorithm versions, are presented and discussed in comparison to some classical methods to show potential advantages and disadvantages. Benchmark tests and experimental research results are presented to show efficacy and extraction precision on test images.