湖南科技大学学报（自然科学版）
湖南科技大學學報（自然科學版）
호남과기대학학보（자연과학판）
JOURNAL OF HUNAN UNIVERSITY OF SCIENCE & TECHNOLOGY（NATURAL SCIENCE EDITION）
2014年
2期
76-80
,共5页
图像分割%局部描述子%特征融合%过渡区%局部熵%局部方差
圖像分割%跼部描述子%特徵融閤%過渡區%跼部熵%跼部方差
도상분할%국부묘술자%특정융합%과도구%국부적%국부방차
image segmentation%local descriptor%feature fusion%transition region%local entropy%local variance
针对基于局部熵的过渡区阈值算法中没有同时考虑局部图像灰度变化的频率和幅度，提出一种融合局部描述子的过渡区阈值算法。提出算法首先采用图像的局部熵和局部方差等局部描述子提取图像的局部特征；其次融合局部图像特征构造特征矩阵，并选取合适的特征阈值提取图像的过渡区；最后根据图像过渡区的灰度均值分割图像。实验结果表明，根据一些图像分割的定量评价标准，提出算法提取过渡区的质量高，分割图像效果好。
針對基于跼部熵的過渡區閾值算法中沒有同時攷慮跼部圖像灰度變化的頻率和幅度，提齣一種融閤跼部描述子的過渡區閾值算法。提齣算法首先採用圖像的跼部熵和跼部方差等跼部描述子提取圖像的跼部特徵；其次融閤跼部圖像特徵構造特徵矩陣，併選取閤適的特徵閾值提取圖像的過渡區；最後根據圖像過渡區的灰度均值分割圖像。實驗結果錶明，根據一些圖像分割的定量評價標準，提齣算法提取過渡區的質量高，分割圖像效果好。
침대기우국부적적과도구역치산법중몰유동시고필국부도상회도변화적빈솔화폭도，제출일충융합국부묘술자적과도구역치산법。제출산법수선채용도상적국부적화국부방차등국부묘술자제취도상적국부특정；기차융합국부도상특정구조특정구진，병선취합괄적특정역치제취도상적과도구；최후근거도상과도구적회도균치분할도상。실험결과표명，근거일사도상분할적정량평개표준，제출산법제취과도구적질량고，분할도상효과호。
Because the transition region thresholding algorithm based on local entropy did not simultaneously consider the amplitude and frequency of the local gray varying of the image,a new transition region thresholding algorithm based on a fusion of local descriptors was proposed.Firstly,in the proposed algorithm,local image feature was extracted by using local image descriptors about local entropy and local variance.Secondly,the feature matrix was constructed by the fusion image feature.Thirdly,the transition region was extracted through opposite feature threshold.Finally,the image was segmented by the grayscale mean of transition pixels.The experimental results show the algorithm performs well in transition region extraction and image segmentation.
