DocumentCode :
248252
Title :
Using large color LBP in generalized hough transform
Author :
Jun-Jie Huang ; Wan-Chi Siu
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
1584
Lastpage :
1588
Abstract :
A new color based generalized Hough transform algorithm which initially generates a similar color map between the prototype object and a test image and uses a novel Large Color Local Binary Pattern (LCLBP) descriptor on the similar color map for feature extraction and object detection is proposed. The novel LCLBP descriptor can efficiently capture the local structure of target object on the similar color map. According to the experiment results, the proposed algorithm can provide comparable accuracy with the state-of-the-art Hough algorithm, but ours is 27 times faster.
Keywords :
Hough transforms; feature extraction; image colour analysis; object detection; LCLBP descriptor; feature extraction; generalized Hough transform algorithm; large color LBP; large color local binary pattern; object detection; prototype object; similar color map; test image; Color; Feature extraction; Image color analysis; Object detection; Prototypes; Transforms; Vectors; Hough transform; Object recognition; color features; detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025317
Filename :
7025317
Link To Document :
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