Imaging Components, Systems, and Processing

Recognition of interior photoelectric devices by using dual criteria of shape and local texture

[+] Author Affiliations
Feng Qian

The University of the Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China

Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Department of Airborne Optical Imaging and Measurement, Dongnanhu Road 3888, Changchun, Jilin 130033, China

Chinese Academy of Sciences, Key Laboratory of Airborne Optical Imaging and Measurement, Dongnanhu Road 3888, Changchun, Jilin 130033, China

Bao Zhang, Chuanli Yin

Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Department of Airborne Optical Imaging and Measurement, Dongnanhu Road 3888, Changchun, Jilin 130033, China

Mingyu Yang, Xiantao Li

Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Department of Airborne Optical Imaging and Measurement, Dongnanhu Road 3888, Changchun, Jilin 130033, China

Chinese Academy of Sciences, Key Laboratory of Airborne Optical Imaging and Measurement, Dongnanhu Road 3888, Changchun, Jilin 130033, China

Opt. Eng. 54(12), 123110 (Dec 21, 2015). doi:10.1117/1.OE.54.12.123110
History: Received August 11, 2015; Accepted November 23, 2015
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Abstract.  A necessity exists for the protection of people and their property against the unauthorized use of photoelectric devices. The retroreflection of optical systems can be utilized to detect and recognize photoelectric devices. The reduction of false alarms and processing speed are two crucial issues, particularly for interior applications involving complex scenes. Here, we propose a local texture criterion that determines the local maximum and local continuity of the reflections. A comprehensive evaluation method that combines a modified shape criterion and the local texture criterion to improve the recognition probability is also presented. A searching strategy for scanning and locating the target candidates with reduced time cost was used in laboratory experiments performed at operating distances of 2.2, 3.2, and 4.2 m with the presence of disturbing objects. The results demonstrated the practicability of the proposed method, its superior recognition probability over that of single-criterion methods, and its enhanced average processing speed in comparison with existing methods.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Feng Qian ; Bao Zhang ; Chuanli Yin ; Mingyu Yang and Xiantao Li
"Recognition of interior photoelectric devices by using dual criteria of shape and local texture", Opt. Eng. 54(12), 123110 (Dec 21, 2015). ; http://dx.doi.org/10.1117/1.OE.54.12.123110


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