Shape Recognition of Parts and Software Development by using Border Tracking and Cross Correlatioin Method

경계선추적과 상관계수법을 이용한 부품의 형상인식과 소프트웨어개발

Image processing was used to recognize parts at various disposition. Non-transpatent tachometer panel for automobile and semi-transparent panel have been used as test specimen. Laplacian filter and various threshold values have been applied for preprocessing and edge following algorithm has been applied. Series of length data between edges have been generated from each image and compared using cross correlation coefficient. The result using cross correlation coefficient. The result using both edge following and cross correlation coefficient was proven to be the best fit for the proposed parts.