计算机与现代化
計算機與現代化
계산궤여현대화
Computer and Modernization
2015年
9期
42-45
,共4页
点霍夫变换%图论%超像素%改进的显著性检测
點霍伕變換%圖論%超像素%改進的顯著性檢測
점곽부변환%도론%초상소%개진적현저성검측
point Hough transform ( PHT)%graph-based%superpixel%improved saliency detection
采用简单的图像分割和边缘提取对工业透明塑料薄膜的破损情况进行检测时,效果不太理想。针对这种情况,本文提出一种改进的基于上下文的工业透明薄膜包装破损显著性检测。首先对拍摄的图像进行点Hough变换( PHT),然后将PHT变换的图像进行Graph-based超像素分割,最后对超像素分割后的图像进行基于上下文的显著性检测。实验结果表明,本方法准确性高、运行时间短,在工业上的应用具有可行性。
採用簡單的圖像分割和邊緣提取對工業透明塑料薄膜的破損情況進行檢測時,效果不太理想。針對這種情況,本文提齣一種改進的基于上下文的工業透明薄膜包裝破損顯著性檢測。首先對拍攝的圖像進行點Hough變換( PHT),然後將PHT變換的圖像進行Graph-based超像素分割,最後對超像素分割後的圖像進行基于上下文的顯著性檢測。實驗結果錶明,本方法準確性高、運行時間短,在工業上的應用具有可行性。
채용간단적도상분할화변연제취대공업투명소료박막적파손정황진행검측시,효과불태이상。침대저충정황,본문제출일충개진적기우상하문적공업투명박막포장파손현저성검측。수선대박섭적도상진행점Hough변환( PHT),연후장PHT변환적도상진행Graph-based초상소분할,최후대초상소분할후적도상진행기우상하문적현저성검측。실험결과표명,본방법준학성고、운행시간단,재공업상적응용구유가행성。
It is not the best idea of using a simple way of image segmentation and edge detection in detecting the breakage of transparent plastics in industrial area. For this, a breakage detection based on context-aware saliency detection which is employed in the transparent plastics in industrial area is proposed. First, we carry out the point Hough transform ( PHT) on the original im-age. Then the graph-based superpixel segmentation is used to segment the image after the PHT. Finally, context-aware saliency detection is used to detect the salient area of the image. The experiments show that the method is of high accuracy and short run time.