林业科学
林業科學
임업과학
SCIENTIA SILVAE SINICAE
2014年
4期
108-114
,共7页
Graph Cuts%特征提取%扫描电镜%图像分割%细胞
Graph Cuts%特徵提取%掃描電鏡%圖像分割%細胞
Graph Cuts%특정제취%소묘전경%도상분할%세포
Graph Cuts%feature extraction%SEM%image segmentation%cell
提出一种基于 Graph Cuts图像分割的木材 SEM 图像特征提取方法。首先对木材 SEM 图像增强，应用Graph Cuts分割图像；提取木材组织轮廓后，使用数学形态学平滑对象轮廓；最后提出木材细胞的9种几何和统计特征及其计算方法。针对12个木材树种的试验结果表明：本方法给出的特征在给定树种及各树种的早、晚材间均具有较大的差异，为木材材种识别提供了重要依据。
提齣一種基于 Graph Cuts圖像分割的木材 SEM 圖像特徵提取方法。首先對木材 SEM 圖像增彊，應用Graph Cuts分割圖像；提取木材組織輪廓後，使用數學形態學平滑對象輪廓；最後提齣木材細胞的9種幾何和統計特徵及其計算方法。針對12箇木材樹種的試驗結果錶明：本方法給齣的特徵在給定樹種及各樹種的早、晚材間均具有較大的差異，為木材材種識彆提供瞭重要依據。
제출일충기우 Graph Cuts도상분할적목재 SEM 도상특정제취방법。수선대목재 SEM 도상증강，응용Graph Cuts분할도상；제취목재조직륜곽후，사용수학형태학평활대상륜곽；최후제출목재세포적9충궤하화통계특정급기계산방법。침대12개목재수충적시험결과표명：본방법급출적특정재급정수충급각수충적조、만재간균구유교대적차이，위목재재충식별제공료중요의거。
Generally,even the subtle differences of wood textures among different species can be clearly identified with their scanning electron microscope( SEM) micrographs. Therefore,the features extracted from the SEM micrographs can provide a reliable basis for the classification of wood micrographs. In this paper,a novel method of wood SEM micrographs was proposed for feature extraction based on Graph Cuts. Firstly,the wood SEM micrographs would be enhanced before partitioning the images into multiple segments by Graph Cuts,then extracting the contours of wood tissues and smoothing the contours of objects by mathematical morphology. Finally,nine kinds of geometric and statistical features and their computing methods were given. The experimental results on 12 wood species showed that the features we proposed had a great difference among the given wood species( also in the earlywood and latewood of each given species) ,which provided an important basis for the wood assortment recognition.
