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| 基于多级灰度差的脂肪肝B超图像识别方法 | |
| 引用本文： | 王大溪,方园,胡波,曹汉强.基于多级灰度差的脂肪肝B超图像识别方法[J].计算机工程与设计,2012,33(5):1899-1903. |
| 作者姓名： | 王大溪 方园 胡波 曹汉强 |
| 作者单位： | 1. 广西工学院电子信息与控制工程系,广西柳州545006;华中科技大学电子信息工程系,湖北武汉430074 2. 广西工学院电子信息与控制工程系,广西柳州,545006 3. 华中科技大学电子信息工程系,湖北武汉,430074 |
| 基金项目： | 国家自然科学基金项目(60272099);柳州市科学研究与技术开发计划基金项目(柳科综字[2007]11号) |
| 摘 要： | 提出了一种基于多级灰度差特征的脂肪肝B超图像识别方法.在B超图像中提取一个梯形区域,将该区域分成n×m个小梯形；并计算每个小梯形区域的平均灰度值,得到从近场到远场的灰度差矩阵作为多级灰度差特征;结合人工神经网络进行脂肪肝识别.实验结果表明,新方法取得了较好地识别效果,提高了B超图像脂肪肝的识别率. |
| 关 键 词： | 脂肪肝 B超图像 特征提取 多级灰度差 人工神经网络 |
Fatty liver B-scan image recognition method based on multi-grade gray level difference |
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| WANG Da-xi , FANG Yuan , HU Bo , CAO Han-qiang.Fatty liver B-scan image recognition method based on multi-grade gray level difference[J].Computer Engineering and Design,2012,33(5):1899-1903. | |
| Authors: | WANG Da-xi FANG Yuan HU Bo CAO Han-qiang |
| Affiliation: | 1.Department of Electronics Information and Control Engineering,Guangxi University of Technology, Liuzhou 545006,China;2.Department of Electronics and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China) |
| Abstract: | A novel method for fatty liver B-scan image recognition with multi-grade gray level difference is proposed.First a trapeziform area is extracted from B-scan image.And then the trapeziform area is divided into n×m regular trapeziform areas.After computed every small areas average gray level,the multi-grade gray level difference axis matrix is gained from near area to far area.Finally the image is recognized with neural network based on multi-grade gray level difference.The experiment shows that new method gets a good effect in fatty liver B-scan images recognition. |
| Keywords: | fatty liver b-scan image feature extraction multi-grade gray level difference artificial neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |