Ms. Fanghan Chen Profile

Fanghan Chen

at Changchun Univ of Science and Technology

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Proceedings Article | 20 August 2011 Paper

Optical correlation recognition of infrared target based on wavelet multi-scale product

Fang-han Chen, Wen-sheng Wang

Proceedings Volume 8192, 81921T (2011) https://doi.org/10.1117/12.900228

KEYWORDS: Wavelets, Target recognition, Target detection, Infrared radiation, Image processing, Infrared imaging, Wavelet transforms, Infrared detectors, Joint transforms, Feature extraction

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As one of the most successful optical correlation recognizers, hybrid optoelectronic joint transform correlator (HOJTC) has received more and more attraction than the purely electronic way in the field of target detection and recognition. It primarily because that HOJTC has the advantages of optics as well as those of electronics. This kind of combination determines that the performance of HOJTC is closely related to optical configuration of system and digital image processing technology. For the stability of optical part, a lot of efforts concerning image processing methods have been made in recent years for improving the power of recognition of HOJTC. Edge contours play a decisive role in target detection. In order to obtain adequate contour feature of target, the solution of edge extraction based on wavelet multi-scale product is proposed. Normalized maximum and argument of each point could be defined utilizing wavelet coefficient of image. Both of them contain the relation of coefficient product between each scale. Edge points synthesized the information of multi-scale are extracted by searching local maxima along the direction of gradient. The way adopted fully exploited the character of multi-resolution of wavelet. Simulation experiments and optical experiments indicate that the energy of correlation peaks is obviously enhanced after the original image is processed by wavelet multi-scale product, and it successfully realizes detection and recognition of infrared target.

Proceedings Article | 4 January 2008 Paper

Application of joint transform correlator in detection of infrared target

Fanghan Chen, Chunjie Li, Dongyue Liu, Wensheng Wang

Proceedings Volume 6837, 68371F (2008) https://doi.org/10.1117/12.757535

KEYWORDS: Target detection, Joint transforms, Wavelets, Infrared radiation, Target recognition, Fourier transforms, Image processing, Wavelet transforms, Infrared detectors, Infrared imaging

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Joint transform correlator is one of the most successful optical pattern recognizers which is composed of Ar⁺ laser, spatial filter, Fourier transform lenses, EALCD (electrically addressed liquid crystal displays) and CCD (Charge Coupled Device). It has many applications in industry and military. The bottle technologies are how to recognize the target in clutter scene and how to increase the brightness of the correlation peak which represents the detected target. In this paper, we researched joint transform correlator (JTC) for infrared target detection, and used wavelet transform technology to increase the contrast of input image which contains target and reference objects, reduced the high frequency noise and realized target detection in clutter scene. According to our requirement, we selected the two-order spline wavelet, and made input image have discrete binary wavelet transformed. Because edge always contains much information of image, we adopted the method of modular maximum to extract the edge of different scales after wavelet transform mentioned above. In addition, combined with threshold division which could eliminate some of the clutter, we could get the remarkable edge. As experiment result, we detected the infrared image, both with computer correlation matched method and optical JTC method. The experiments show that the wavelet transform technology is one of the best data processing methods for the target detection in clutter background.

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