CAJ | 학술논문

目前图像处理技术在工业产品缺陷检测中的应用越来越广泛，针对注塑制品缺陷进行研究和检测，利用Matlab编写上层软件完成图像获取、处理以及通信功能，对图像倾斜校正的两点法进行改进，检测结果达到了预期效果，识别率达98％，满足系统实时性和鲁棒性．
목전도상처리기술재공업산품결함검측중적응용월래월엄범，침대주소제품결함진행연구화검측，이용Matlab편사상층연건완성도상획취、처리이급통신공능，대도상경사교정적량점법진행개진，검측결과체도료예기효과，식별솔체98％，만족계통실시성화로봉성．
At present image processing is more and more widely applied to industrial product defect detection . The paper studies and analyzes injection product defects, The upper layer software completes the image acquisition, processing and communication functions by using Matlab and improving the Two Points image tilt correction method, and the test results has achieved the desired effect with the recognition rate of 98%, which meet the real-time and robustness.