New Random and Additional Phase Adjustment of Joint Transform Correlator

Self Cite

Joint transform correlator (JTC) is a well known tool for color pattern recognition for a color image. Color images have red, green and blue components, thus in conventional JTC, three input channels of these color components are necessary for color pattern recognition. This paper proposes a new technique of color pattern recognition by decomposing the color image into three color components and recombining those components into a single gray image in the input plane. This new technique needs single input channel and single output CCD camera, thus a simple JTC can be used. We present various kinds of simulated results to show that our newly proposed technique can accurately recognize and discriminate color differences.

Section: Introductionmentioning

confidence: 99%

Color Pattern Recognition with Recombined Single Input Channel Joint Transform Correlator

Jeong

2011

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“…Recently many methods for solving such problems in the JTC have been studied. Among them, the nonlinear joint transform correlator (NJTC), which can solve the problem of the nonlinear components in the JTC system, may be the most typical [7][8][9]. In addition, an essential technique in pattern recognition and identification is that of finding an accurate recognition method when the input images are rotated in angle and translated in position [10][11].…”

Section: Introductionmentioning

confidence: 99%

Binary Nonlinear Joint Transform Correlator with Sinusoidal Iterative Filter in Spectrum Domain

Jeong

2010

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The joint transform correlator (JTC) has been the best known technique for pattern recognition and identification. This paper proposes a new technique of fringe adjustment by adopting a sinusoidal amplitude-modulated iterative filter convolved with an interference fringe pattern in the joint power spectrum (JPS) domain. The comparison of our new technique and other techniques is presented to show that the newly proposed technique can successfully improve both the correlation peaks and the peak signal-to-noise ratio (PSNR). Simulated results of enhanced interference fringes are also presented.

“…These kinds of pattern recognition and target tracking applications can be achieved by the joint transform correlator (JTC) [8][9][10][11][12][13][14][15][16]. The introduction of color information in pattern recognition by the JTC is usually made by means of a multi-channel correlation technique that decomposes the source and the target color images into three red, green, and blue RGB channels.…”

Section: Introductionmentioning

confidence: 99%

Coded Single Input Channel for Color Pattern Recognition in Joint Transform Correlator

Jeong¹

2011

Self Cite

Recently, we reported a single input channel joint transform correlator for the color pattern recognition which decomposes the input color image into three R, G, and B gray components and adds those components into a single gray image in the input plane. This technique has the merit of a single input channel instead of three input channels. However, we found this technique has some problems with discrimination impossibility in the case of a simple primary color pattern which results in the same gray level through the addition process. Thus, we propose a modified coding technique which selectively recombines the decomposed three R, G, and B gray components instead of the simple adding process. Simulated results show that the modified coding technique can accurately discriminate a variety of kinds of color images.