深圳信息职业技术学院学报
深圳信息職業技術學院學報
심수신식직업기술학원학보
Journal of Shenzhen Institute of Information Technology
2015年
3期
38-42
,共5页
图像分割%阈值选取%二维Otsu分割法
圖像分割%閾值選取%二維Otsu分割法
도상분할%역치선취%이유Otsu분할법
image segmentation%threshold selection%two dimensional otsu segmentation method
当图像中目标类类内方差与背景类类内方差差异较大时,灰度约束Otsu分割法能够获得更好的分割结果。然而,灰度约束Otsu分割法降低了分割阈值,因而更容易受到图像中噪声的影响而出现分割错误。针对这一问题,本文将灰度约束策略推广到了二维Otsu分割法,从而提出了一种具有灰度约束的二维Otsu图像分割方法,即根据二维Otsu分割法的阈值特点选定二维灰度约束值并获得灰度约束二维直方图,而后再使用灰度约束二维直方图选取分割阈值。实验结果表明,本文方法能够更为有效的抵抗图像中的噪声,可以获得更好的图像分割结果。
噹圖像中目標類類內方差與揹景類類內方差差異較大時,灰度約束Otsu分割法能夠穫得更好的分割結果。然而,灰度約束Otsu分割法降低瞭分割閾值,因而更容易受到圖像中譟聲的影響而齣現分割錯誤。針對這一問題,本文將灰度約束策略推廣到瞭二維Otsu分割法,從而提齣瞭一種具有灰度約束的二維Otsu圖像分割方法,即根據二維Otsu分割法的閾值特點選定二維灰度約束值併穫得灰度約束二維直方圖,而後再使用灰度約束二維直方圖選取分割閾值。實驗結果錶明,本文方法能夠更為有效的牴抗圖像中的譟聲,可以穫得更好的圖像分割結果。
당도상중목표류류내방차여배경류류내방차차이교대시,회도약속Otsu분할법능구획득경호적분할결과。연이,회도약속Otsu분할법강저료분할역치,인이경용역수도도상중조성적영향이출현분할착오。침대저일문제,본문장회도약속책략추엄도료이유Otsu분할법,종이제출료일충구유회도약속적이유Otsu도상분할방법,즉근거이유Otsu분할법적역치특점선정이유회도약속치병획득회도약속이유직방도,이후재사용회도약속이유직방도선취분할역치。실험결과표명,본문방법능구경위유효적저항도상중적조성,가이획득경호적도상분할결과。
When the variance of foreground and background is big, better segmentation results can be obtained by gray constrained Otsu method. However, as the threshold value of gray constrained Otsu method is smaller than Otsu method, it is more vulnerable to the influence of noise pixels in the image, which will cause segmentation errors. To solve this problem, the gray constraint strategy is extended to two dimensional histogram , which is proposed as gray constrained two dimensional Otsu segmentation. That is, selecting the two dimensional gray constrained value according to the characteristics of two dimensional Otsu method, then calculate gray constrained two dimensional histogram and get the segmentation threshold using the gray constrained two dimensional histogram. Experimental results show that, segmentation results of the proposed gray constrained two dimensional Otsu segmentation method outperform the gray constrained Otsu segmentation method when there are noise pixels in images.