Imaging Components, Systems, and Processing

Insect-image recognition system based on intensity gradient feature

[+] Author Affiliations
Yin-Mou Shen

Kun Shan University, College of Information Technology, Department of Information Management, 195 Kunda Road, Yongkang District, Tainan City 710, Taiwan

Chien-Jen Wang

Kun Shan University, College of Information Technology, Department of Computer and Communication, 195 Kunda Road, Yongkang District, Tainan City 710, Taiwan

Jer-Min Tsai

Kun Shan University, College of Information Technology, Department of Information and Communication, 195 Kunda Road, Yongkang District, Tainan City 710, Taiwan

Yaw-Syan Fu

Kaohsiung Medical University, Department of Biomedical Science and Environmental Biology, 100 Shih-Chuan 1st Road, Kaohsiung 807, Taiwan

Opt. Eng. 54(4), 043103 (Apr 07, 2015). doi:10.1117/1.OE.54.4.043103
History: Received January 5, 2015; Accepted March 17, 2015
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Abstract.  Of all the animal species in the world, insect species are by far the most numerous. Insect-image recognition systems are conventionally based on color or shape features. However, for species in which the color and shape features are very similar, it is necessary to use additional texture information to ensure a reliable recognition result. In most image-based recognition systems, the texture information is obtained by means of discrete wavelet transformation (DWT). However, the DWT performance is readily affected by noise. Accordingly, the present study proposes an insect image recognition system based on a k-nearest neighbor (k-NN) clustering algorithm, in which the Sobel operator is used to extract the gradient intensity features of the image of interest, and the similarity of the image to known images is calculated using an unmatched-point Hausdorff distance method. The experimental results show that the proposed system has both a short recognition time and a high recognition rate.

© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Yin-Mou Shen ; Chien-Jen Wang ; Jer-Min Tsai and Yaw-Syan Fu
"Insect-image recognition system based on intensity gradient feature", Opt. Eng. 54(4), 043103 (Apr 07, 2015). ; http://dx.doi.org/10.1117/1.OE.54.4.043103


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