Color-Edge Detectors for a VLSI Convolver

Abstract

Two color edge-detection algorithms are presented for high-speed processing of RGB image planes from a color camera using a high-performance convolution processor board. The first uses a 3X3 Laplacian operator and the second uses a cross operator which is composed of horizontal (1X9) and vertical (9X1) difference operator components. In this paper, we examine the performance of these algorithms on artificially-generated color images with different amounts of noise added. This approach is placed in context by reviewing the work of other researchers in color machine vision. The experiments described in this paper were carried out in a Sun workstation environment on simulated color input to test the algorithms. This work is part of the effort to integrate a new high-performance convolver board and color camera into our robotic workcell environment.