Coin amount detection based on intelligent optimization image processing
Coin amount detection has practical significance for the circulation of large coins,self-service machine transactions,counterfeit currency identification and so on.Based on this problem that the coin de-tection effect of photoelectric sensor is not ideal at present,a coin amount detection method based on intelli-gent optimization image processing is proposed.Firstly,the color feature and intelligently optimized Otsu image segmentation are used to extract and count the characteristic area of pentagonal coins,and then the radius information of each coin is detected by image preprocessing,edge detection,morphological process-ing and Hough circle detection.By comparing the radius,the type and denomination of coins can be identi-fied.Finally,the automatic coin recognition system is designed by app designer.The experiment results show that this method has the advantages of ideal effect,fast speed and easy implementation,which can meet the needs of engineering.