期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2013
卷号：5
期号：10
页码：864-873
出版社：Engg Journals Publications
摘要：An original approach is proposed. Called the Pre-Segmented Region of Interest Classification Scene System (PSROI), this system is able both to classify a scene during a digital camera's pre-capture phase, and to determine image processor parameters that will determine the quality of the final picture: white balancing, exposure, and focus. Additionally, it also integrates with the focusing system. An image in the classification scene system is given a value, called the focus weight. The focus weight ensures that the selected classification scene is more suitable for user vision. In the scene classification system, three scenes are set: portrait, landscape, and beach/snow. In order to perform the classification more quickly, the operation region of the image shrinks, and less computation is applied to build the system. Experimental results show that the proposed system is capable of effectively classifying scenes into the right categories within 0.2 s..
关键词：scene classification; recognition; support vector machines; fuzzy
