首页 /研究 /A soft approach for feature selection and recognition of outdoor natural images
OTHER

A soft approach for feature selection and recognition of outdoor natural images

Tarun Dhariwal, Arun Agarwal, C. Raghavendra Rao

发表年份
2013
引用次数
2

摘要

For applications like scene classification, CBIR, automated tagging, motion of a robot in a real world using vision system, understanding the images captured by the visual sensors is quite important. For such high level processing task it is mandatory to have a set of good feature. This paper discusses the application of fuzzy rough set theory for selecting a set of best features from the feature set of regions which are segmented out from outdoor natural images using a segmentation algorithm. The paper explains a complete system i.e. from feature selection/region labelling based on fuzzy rough set theory. The images used in experiments are color-texture natural images taken from the campus of University of Hyderabad.

关键词

Artificial intelligenceComputer scienceComputer visionPattern recognition (psychology)Feature (linguistics)Feature selectionFuzzy setSet (abstract data type)Rough setFeature extraction

相关论文

查看 OTHER 分类全部论文