DocumentCode :
2726870
Title :
Design patent image retrieval based on shape features
Author :
Yang, Wenli ; Zeng, Zhiyuan ; Bai, Yujie
Author_Institution :
Digital Eng. & Simulation Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
4
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
352
Lastpage :
356
Abstract :
Based on the concrete characteristics and application background of design patent, according to the deficiengy of the present retrieval system of design patent database, this paper proposed an design patent image shape retrieval method based on the improved morphological description matrix and simulated annealing particle swarm optimization algorithm (SA-PSO), which can not only reflects the morphological characteristics of design patent image, but also has translation, rotation and scale invariances. The experimental results indicated that the proposed method can retrieve similar design patent images fast and efficiently, and improve the recall ratio and precision ratio of design patent image retrieval.
Keywords :
content-based retrieval; feature extraction; image retrieval; particle swarm optimisation; patents; simulated annealing; design patent database; design patent image retrieval; morphological description matrix; shape features; simulated annealing particle swarm optimization algorithm; Algorithm design and analysis; Concrete; Content based retrieval; Feature extraction; Image edge detection; Image retrieval; Image segmentation; Information retrieval; Shape; Simulated annealing; Design patent image retrieval; Simulated annealing particle swarm optimization algorithm; morphological description matrix; similarity degree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5357668
Filename :
5357668
Link To Document :
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