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

Abstract

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.

Image Blurring Estimation and Calibration with a Joint Transform Correlator

“…The typical advantage of the JTC is that it uses a type of real time optical system which quantitatively compares images by measuring correlation peaks [16]. Recently, the JTC shows a unique application in the color comparison and color difference measurement [17]. This works presented the close relation between the color difference and the correlation peaks by decomposing the red, green, and blue components from the original images.…”