中国图象图形学报A
中國圖象圖形學報A
중국도상도형학보A
JOURNAL OF IMAGE AND GRAPHICS
2010年
3期
490-494
,共5页
边缘检测%照度不均匀%图像分割%曲面拟合
邊緣檢測%照度不均勻%圖像分割%麯麵擬閤
변연검측%조도불균균%도상분할%곡면의합
edge detection%uneven illumination%image segmentation%surface fitting
针对照度不均匀的图像提出了一种基于边缘信息构造阈值图像的分割算法.该算法着眼图像上目标、背景及照度在空间分布的连续性,利用边缘处梯度大、阈值容易确定的特点,以其边缘邻域中的极大值和极小值的均值作为该边缘处的阈值,然后以稀疏的边缘阈值为控制点,通过曲面拟合得到全图分布的阈值图像再对图像进行分割.该算法分割效果好,边缘吻合度高于其他典型算法,且抗模糊能力强,有利于平滑去噪,克服了基于边缘方法易受噪声影响的弱点.
針對照度不均勻的圖像提齣瞭一種基于邊緣信息構造閾值圖像的分割算法.該算法著眼圖像上目標、揹景及照度在空間分佈的連續性,利用邊緣處梯度大、閾值容易確定的特點,以其邊緣鄰域中的極大值和極小值的均值作為該邊緣處的閾值,然後以稀疏的邊緣閾值為控製點,通過麯麵擬閤得到全圖分佈的閾值圖像再對圖像進行分割.該算法分割效果好,邊緣吻閤度高于其他典型算法,且抗模糊能力彊,有利于平滑去譟,剋服瞭基于邊緣方法易受譟聲影響的弱點.
침대조도불균균적도상제출료일충기우변연신식구조역치도상적분할산법.해산법착안도상상목표、배경급조도재공간분포적련속성,이용변연처제도대、역치용역학정적특점,이기변연린역중적겁대치화겁소치적균치작위해변연처적역치,연후이희소적변연역치위공제점,통과곡면의합득도전도분포적역치도상재대도상진행분할.해산법분할효과호,변연문합도고우기타전형산법,차항모호능력강,유리우평활거조,극복료기우변연방법역수조성영향적약점.
Directed against uneven illumination of image, this paper proposes a threshold image segmentation algorithm based on edge detection. According to this method, the continuity of spatial distribution of the objects, background and the illumination has been considered to determine the threshold by using the information of the edge's gradient. Then, the average of the maximum and minimum value near the edge detected by edge detection algorithm is used as the local threshold for the pixels on the edge. Using surface fitting,the threshold surface is constructed by the edge-threshold control points for image segmentation. The experimental result shows that the algorithm is efficient, and its Edge-Border Coincidence is higher than other typical algorithm. The ability of Anti-fuzzy of this algorithm is stronger and it has overcome the weakness of the edge-based method which is easy impacted by noise.