CAJ | 학술논문

干电池封口胶的涂抹质量是确保干电池长期保存的关键。为实现干电池封口胶质量视觉自动检测，探讨了相关的图像增强、阈值分割、边缘检测和目标区域提取方法：采用灰度线性变换进行图像增强，基于Sobel算子实现干电池锌桶内、外壁边缘检测，并根据干电池图像中各特征区域像素分布情况提出了可变阈值分割方法。实验结果表明，该方法可准确提取内、外层胶体边缘图像特征，为实现涂胶质量评估及缺陷识别建立了基础。
간전지봉구효적도말질량시학보간전지장기보존적관건。위실현간전지봉구효질량시각자동검측，탐토료상관적도상증강、역치분할、변연검측화목표구역제취방법：채용회도선성변환진행도상증강，기우Sobel산자실현간전지자통내、외벽변연검측，병근거간전지도상중각특정구역상소분포정황제출료가변역치분할방법。실험결과표명，해방법가준학제취내、외층효체변연도상특정，위실현도효질량평고급결함식별건립료기출。
As market consumption for battery quality enhancement ,the battery production process quality inspection is more and more important,and the stem cell sealant applicator is the quality of dry battery can be long -term preservation of core .For dry bat-tery detection needs ,use a variety of methods for image processing ,such as image enhancement ,threshold segmentation ,edge de-tection and the target region extraction ,the choice of the system the most appropriate gray transform ,Sobel edge detection opera-tor,and according to the battery in the image characteristic region pixel distribution presents a variable threshold segmentation method,to efficiently and effectively extracted from the images inside the layer of colloidal .