计算机应用与软件
計算機應用與軟件
계산궤응용여연건
COMPUTER APPLICATIONS AND SOFTWARE
2014年
1期
232-235
,共4页
L*a*b*空间%动态阈值%叶片%图像分割
L*a*b*空間%動態閾值%葉片%圖像分割
L*a*b*공간%동태역치%협편%도상분할
L*a*b* space%Dynamic threshold%Leaves%Image segmentation
叶片图像分割是自动化分类的先决步骤。提出一种基于L*a*b*彩色空间和局域动态阈值的叶片图像分割方法。该方法首先把叶片的RGB图像转换为L*a*b*图像；然后针对b*通道图像，估算出目标叶片所在的局部矩形范围；在此范围内，统计获得像素值分布直方图；最后利用最大类间方差阈值分割法，先算出局部矩形范围内的阈值继而进行全图的分割。实验结果表明：该方法对已采集的叶片图像，包括颜色偏暗的叶片的图像，均具有良好的分割效果。由于锁定目标叶片所处的局部矩形范围，找到了适应于目标叶片分割的阈值，从而更好地实现了南天竺等叶片图像的分割。此外，分割过程不包含数学形态学的开闭运算，使得叶片边缘的细节得以完整保留。
葉片圖像分割是自動化分類的先決步驟。提齣一種基于L*a*b*綵色空間和跼域動態閾值的葉片圖像分割方法。該方法首先把葉片的RGB圖像轉換為L*a*b*圖像；然後針對b*通道圖像，估算齣目標葉片所在的跼部矩形範圍；在此範圍內，統計穫得像素值分佈直方圖；最後利用最大類間方差閾值分割法，先算齣跼部矩形範圍內的閾值繼而進行全圖的分割。實驗結果錶明：該方法對已採集的葉片圖像，包括顏色偏暗的葉片的圖像，均具有良好的分割效果。由于鎖定目標葉片所處的跼部矩形範圍，找到瞭適應于目標葉片分割的閾值，從而更好地實現瞭南天竺等葉片圖像的分割。此外，分割過程不包含數學形態學的開閉運算，使得葉片邊緣的細節得以完整保留。
협편도상분할시자동화분류적선결보취。제출일충기우L*a*b*채색공간화국역동태역치적협편도상분할방법。해방법수선파협편적RGB도상전환위L*a*b*도상；연후침대b*통도도상，고산출목표협편소재적국부구형범위；재차범위내，통계획득상소치분포직방도；최후이용최대류간방차역치분할법，선산출국부구형범위내적역치계이진행전도적분할。실험결과표명：해방법대이채집적협편도상，포괄안색편암적협편적도상，균구유량호적분할효과。유우쇄정목표협편소처적국부구형범위，조도료괄응우목표협편분할적역치，종이경호지실현료남천축등협편도상적분할。차외，분할과정불포함수학형태학적개폐운산，사득협편변연적세절득이완정보류。
Leaf image segmentation is a prerequisite step for automatic classification of leaves.We present a leaf image segmentation method,which is based on L*a*b*colour space and the local dynamic threshold.First,the RGB image of leaf is converted to an L*a*b*one.Then in terms of the channel b*image,the rectangular local range,where the target leaf is located,is estimated.Afterwards,the dis-tribution histogram of pixel values within this range is got by counting.Finally the algorithm of threshold segmentation based on maximum be-tween-class variance is used to calculate the threshold in rectangular local range first and followed by performing the segmentation on the entire image.Experimental results have shown that this method brings about desirable effects on the segmentation of the leaf image samples,inclu-ding those that are relatively dark.As the rectangular local range for the target leaf is identified,and the threshold value suitable for segmentation is worked out,thus better segmentation on the leaf,such as that of Common Nandina,is implemented.Besides,the segmentation excludes the mathematical morphological operation of openings and closings so that the details of the leaves edge can be preserved completely.
