Image processing methodology for optimizing the quality of corks in the punching process

摘要

Abstract: This paper describes the image processing methodology developed in order to implement a machine for automatically punching corks in an optimized manner from raw cork strip. Optimization of the use of cork is important since the manufacturers are paid for the number and quality of the corks they produce. Currently the punch-operator decides where to punch corks based on a quick visual inspection of the strip. The machine being developed uses both CCD cameras and a laser scanning system to acquire information about the distribution and nature of defects in the strip. With this information the system is able to decide on a punching pattern which optimizes the value of the corks produced by the strip. The paper presents in some detail the image processing and punching-pattern optimization algorithms used (which are based on morphological methods) and also describes the PC-based hardware employed during their development. !1