Optical laboratory morphological inspection processor

Abstract

Morphological transformations are applied to industrial inspection problems. A real time optical architecture to implement morphological transformations such as erosion, opening, closing, and skeletonization is described and analyzed. The first real time optical laboratory results of erosion and opening are presented for locating string in tobacco.

Detection of Defects in Fabric by Morphological Image Processing

“…The evolution of the theory closely follows the evolution and applications of pipeline and cellular computing techniques (Danielsson & Levialdi, 1981). By nineties many imageprocessing algorithms for morphological operations are evolved using electronic and optical techniques (Liu, 1989;Casasent, 1990;Botha et al, 1989;Mallick-Goswami & Datta, 2000). Optical morphological image processing was also applied for feature extraction and shape description (Gracia et.al, 1993).…”

<title>Optical laboratory implementation of advanced detection and distortion-invariant filters</title>

“…Optical morphological processing has been optically demonstrated in 1989 using a real time input and real time [7] and filter based [8] structuring element filters. Since then, it has been discussed and demonstrated on various optical systems.…”

<title>Optical implementation of binary image morphological transformations using a liquid crystal light valve (LCLV)</title>

“…The shifting distance between the two shift-images which are formed through two immediate neighbor cells in the neighboring element mask can be expressed as A=-(Df)(Dtfz) . (6) Let M be the image magnification ratio, then M f+z • (7) D If the pixel period of the input image on input plane P1 is a, the pixel period (denoted with b) of a shifted image on output plane P2 can be written as b=Ma . (8) In order to form a multi-shifted-superimposed image, the shifting distance z must equal the pixel period b, that is E=b.…”