CAJ | 학술논문

作为尿沉渣自动识别的关键一部分,尿沉渣图像的准确分割具有非常重要的意义.用Canny算子检测尿沉渣图像的过程中存在双阈值的选取不能自适应、检测出的边缘不闭合等不足.为改进这些不足,先时经过非最大值抑制后得到的候选边缘点用一个小的结构元素进行一次形态学膨胀,为提取闭合的边缘打下基础,然后提出了利用梯度图像的最高梯度来确定高阈值和利用梯度图像的局部梯度信息来确定低阈值的方法,该双阈值的选取方法自适应性强.实验结果表明,改进的Canny算子能够自动地分割尿沉渣图像,分割精度高,抗噪声干扰性强.
작위뇨침사자동식별적관건일부분,뇨침사도상적준학분할구유비상중요적의의.용Canny산자검측뇨침사도상적과정중존재쌍역치적선취불능자괄응、검측출적변연불폐합등불족.위개진저사불족,선시경과비최대치억제후득도적후선변연점용일개소적결구원소진행일차형태학팽창,위제취폐합적변연타하기출,연후제출료이용제도도상적최고제도래학정고역치화이용제도도상적국부제도신식래학정저역치적방법,해쌍역치적선취방법자괄응성강.실험결과표명,개진적Canny산자능구자동지분할뇨침사도상,분할정도고,항조성간우성강.
The accurate segmentation for microscopic cell image of the urinary sediment is very important as a key part of automatic recognition,Canny operator has the disadvantage during the edge detection of urine sediment image,which can not obtain the dithreshold adaptively and make the detected edges not closed.To improve that,the candidate edge obtained after non-maxima suppression are dilated by using a small structure element for getting closed edges later,and a method of getting dithreshold is improved that the high threshold is determined according to the greatest gradient value of the image and the low threshold is determined according to the local gradient value,which is adaptive.Experimental results show that the improved Canny operator can automatically segment the urine sediment image with high accuracy and strong robustness to the noise.