北华航天工业学院学报
北華航天工業學院學報
북화항천공업학원학보
JOURNAL OF NORTH CHINA INSTITUTE OF AEROSPACE ENGINEERING
2012年
4期
1-3
,共3页
陈刚%冯登超%吴新颖%杜文雅%肖楷乐
陳剛%馮登超%吳新穎%杜文雅%肖楷樂
진강%풍등초%오신영%두문아%초해악
灰度共生矩阵%超声图像%纹理%特征提取
灰度共生矩陣%超聲圖像%紋理%特徵提取
회도공생구진%초성도상%문리%특정제취
gray leve co-occurrence matrix%ultrasound image%texture%feature extraction
本文在分析了医学超声图像特殊性的基础上,构建了基于灰度共生矩阵的四个纹理特征描述算子,对正常肝和非正常肝的超声图像进行了特征提取。MATLAB仿真实验结果验证了该算法的有效性。
本文在分析瞭醫學超聲圖像特殊性的基礎上,構建瞭基于灰度共生矩陣的四箇紋理特徵描述算子,對正常肝和非正常肝的超聲圖像進行瞭特徵提取。MATLAB倣真實驗結果驗證瞭該算法的有效性。
본문재분석료의학초성도상특수성적기출상,구건료기우회도공생구진적사개문리특정묘술산자,대정상간화비정상간적초성도상진행료특정제취。MATLAB방진실험결과험증료해산법적유효성。
In the paper, the particularity of medical ultrasound image was analyzed and four texture feature operators were constructed based on gray leve co-occurrence matrix. Accordingly, the ultrasound image feature extraction of normal and non-normal liver were executed. Finally, the simulation experiment under the envirnoment of Matlab was carried on and verified the validity of the above algorithm.
