湖北农业科学
湖北農業科學
호북농업과학
2009年
12期
3152-3154
,共3页
鸭蛋%机器视觉%裂纹%检测
鴨蛋%機器視覺%裂紋%檢測
압단%궤기시각%렬문%검측
duck eggshell%machine vision%crack%detection
通过计算机视觉系统获取鸭蛋表面的图像,利用颜色特征参数和灰度阈值方法对图像进行分割.提取分割后的裂纹区域和噪声区域的6个几何特征参数,对图像进行识别,裂纹识别率为93.392%,噪声识别率为93.602%.
通過計算機視覺繫統穫取鴨蛋錶麵的圖像,利用顏色特徵參數和灰度閾值方法對圖像進行分割.提取分割後的裂紋區域和譟聲區域的6箇幾何特徵參數,對圖像進行識彆,裂紋識彆率為93.392%,譟聲識彆率為93.602%.
통과계산궤시각계통획취압단표면적도상,이용안색특정삼수화회도역치방법대도상진행분할.제취분할후적렬문구역화조성구역적6개궤하특정삼수,대도상진행식별,렬문식별솔위93.392%,조성식별솔위93.602%.
Images of the duck egg shell surface which obtained by computer vision system were portioned and analyzed acCOrding their color feature parameters and grayseale threshold values. Based on 6 geometric parameters of the noise and crack regions,the crack and noise recognition rates were 93.392%and 93.602%,respeetively.
