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Publication Type : Conference Paper
Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017
Source : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, Institute of Electrical and Electronics Engineers Inc. (2017)
ISBN : 9781509045594
Keywords : Color, Color images, Color objects, Computer vision, Edge detection, Feature detection, Feature extraction, Harris corner detection, Object Detection, Object recognition, Research problems, Scene-based, SIFT, SURF
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2017
Abstract : The object recognition and classification is a research problem in the field of computer vision. The computers are trained to automatically identify various objects present in a scene based on various features extracted from it. These features should be the unique ones that will differentiate one object from the other. In this paper, SURF features are extracted from the color image and combined to detect a color object. Based on the experimental results we derive an efficient way to detect the SURF features.
Cite this Research Publication : M. Muthugnanambika and Dr. Padmavathi S., “Feature Detection for Color Images using SURF”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, 2017.