井冈山大学学报（自然科学版）2016，Vol.37Issue(3)：41-47,7.DOI:10.3969/j.issn.1674-8085.2016.03.009
一种面向最近邻分类器和动态Snake模型的血红细胞图像特征提取方法
FEATURE EXTRACTION METHOD OF RED BLOOD CELL BASED ON ACTIVE SNAKE MODEL AND NEAREST NEIGHBOR CLASSIFIER
摘要
Abstract
Recently Snake model has been widely used on image extraction and recognition. The key is feature extraction of the contour. The important problems focus on algorithm efficiency and misextraction. NN Classifier is also used with its simplicity. We describe the Snake Model on Red Blood Cell image. A method is proposed that we use improved NN Classifier and color information to detect the contour of feature extraction. The method can be effectively applied in the process of clinical diagnosis.关键词
Snake模型/NN分类器/特征提取Key words
Snake model/NN classifier/feature extraction分类
信息技术与安全科学引用本文复制引用
黄伟,周鸣争,赵森严..一种面向最近邻分类器和动态Snake模型的血红细胞图像特征提取方法[J].井冈山大学学报（自然科学版）,2016,37(3):41-47,7.基金项目
安徽省自然科学研究基金项目（1608085QF154）；安徽工程大学计算机应用技术重点实验室开放基金资助项目(JSJKF201503) （JSJKF201503）
