Title :
A Fast Algorithm for Image Geometric Feature Parameters Extraction
Author :
Yang, Cheng ; Lu, Rong ; Chen, Niannian
Author_Institution :
Dept. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang, China
Abstract :
How to extract the features quickly and correctly is the essential precondition for image identification and classification. As there existing large computation problems in the traditional feature extraction algorithms, this paper proposes a faster algorithm. Firstly, the image connected region is encoded by using the Vertex Chain Code to map as a closed area. Then a unified computational framework is developed to combine the Vertex Chain Code and Discrete Green, turning surface integral into line integral. Experimental results show that this algorithm is fast and effective, and can be used for special area.
Keywords :
feature extraction; geometrical optics; image classification; image coding; closed area; discrete Green integral; feature extraction algorithms; image classification; image connected region; image encoding; image geometric feature parameter extraction; image identification; line integral; turning surface integral; unified computational framework; vertex chain code; Algorithm design and analysis; Classification algorithms; Educational institutions; Feature extraction; Gesture recognition; Optical devices; Visualization;
Conference_Titel :
Photonics and Optoelectronics (SOPO), 2012 Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0909-8
DOI :
10.1109/SOPO.2012.6270950
