Research On Defect Detecting Technology For The Seal Of Cigarette Case

Image processing technique is widely used in industry, agriculture, military, and our daily lives. Machine vision system based on image processing can greatly increase efficiency of manufacture. Image processing needs large quantity of calculation. Digital signal processor (DSP) is a kind of micro processor with special architecture designed for real time signal processing. Image processing algorithms can run very well on DSP platform. This paper provides a fast defect detecting algorithm for the seal of cigarette case. This image processing algorithm can be used on DSP platforms. It has learning function, and can be used for different cigarette case after learning different model case. This algorithm is robust and not sensitive to position and rotation. It is implemented in MATLAB and C, and can be ported to other platforms easily. The result of simulation on MATLAB shows that this algorithm is accurate. The algorithm is written in C on VC platform. And the accuracy of this algorithm in C is acceptable. The profile result shows that it takes less than 20ms on PC. It is finally ported to 6711DSK and refined in many ways. The test result on embedded system shows that it takes about 60ms on 6711DSK. So this algorithm is reliable and efficient, it is suit for real time situation.