用不同图像边缘检测算法识别粉煤灰等颗粒物

分别采用Roberts算子、Sobel算子、Canny算子、Prewitt算子以及阈值分割与Prewitt算子相结合的方法实现对粉煤灰灰度图像和废旧印刷线路板碎片彩色图像的边缘检测。分析检测结果表明Sobel算子和Prewitt算子处理效果最好，若与阈值分割相结合则能进一步减少噪声干扰从而得到更清晰的边缘。该方法对于彩色图像也有非常好的处理效果。

Particles identification such as fly ash using various image edge detection algorithm

By using Roberts operator,Sobel operator,Canny operator,prewitt operator and the Prewitt operator combining with threshold segmentation in the paper.The edge detection of the gray image of the flay ash and the color image of scraps of the printed circuit board could implement.The analysis shows that: Sobel operator and Prewitt operator precede other operators obviously.However,combining with threshold segmentation can obtain the more clear edge and restrain noise.The methods also have good treatment effects for the color image.