Object Surface Region Recognition Based on Improved Canny Algorithm and Hu Moment
In the process of object surface detection using contour Hu moment matching method,in order to solve the problem that contour extraction and geometric moment are affected by objective factors such as noise and scale transformation,a contour matching method based on improved Canny algorithm and improved Hu moment is proposed for object surface area recognition.First-ly,the improved Canny algorithm is used to reduce the influence of noise on contour extraction and obtain better contour informa-tion.Then,the scale normalization method is used to improve Hu moment for contour matching of object surface region to realize re-gion matching and recognition.The experimental results show that this method can extract high-precision regional contour under the interference of noise and other factors,and the recognition rate is at least 98.3%.It has strong robustness and a high recognition rate and meets the requirements of high precision and high recognition rate for regional recognition in object surface detection.
万方数据
维普
