采用最大方差法將圖像二值化，用圖像形態(tài)學(xué)的梯度細(xì)化和修剪算法來提取邊緣輪廓，利用十一點(diǎn)曲率法得到輪廓的角點(diǎn)和切點(diǎn)的大致位置。提出了一種基于最小二乘擬合的改進(jìn)算法，來進(jìn)一步確定角點(diǎn)和切點(diǎn)，并對輪廓分段識(shí)別。該算法應(yīng)用在基于圖像處理的刀具測量系統(tǒng)中，實(shí)際結(jié)果表明具有良好的抗噪聲性能，能準(zhǔn)確提取出圖像的特征點(diǎn)。
關(guān) 鍵 詞 刀具測量; 細(xì)化; 曲率; 最小二乘擬合; 角點(diǎn)

Abstract The image is segmented to Bi-value image with max variance algorithm, and then the edge is detected by a series of image morphology algorithm including grads, thinning and cutting. The eleven point curvature-computing method is used to locate the area of corner and point of tangency. An improved algorithm based on least square fitting is given to search corner and point of tangency. This algorithm is applied to the cutting tools measurement system based on image processing and the actual result proves it has a good noise-resisted performance and can detect feature points accurately.
Key words cutting tools measurement; thinning; curvature; least square fitting; corner