摘要
针对红外图像普遍存在目标与背景对比度差、噪声较大及非均匀成像等问题和太阳能光伏阵列的红外图像特点,文章提出了先将待分析图像与正常工作的太阳能光伏阵列的红外图像作差运算,再采用二维阈值化与模糊聚类相混合的方法提取目标特征的方案,实验结果令人满意。
In view of low contrast of target and background, strong noise and non-uniformity in the infrared image and peculiarity of the photovoltaic array, a new method of target feature extracting is presented in this paper. First,the subtraction operation is carried out between the two infrared images of photovoltaic array which are to be analyzed and under normal condition respectively. Then, a method of combining the two-dimensional thresholding and the fuzzy-c-means algorithm is implemented. Some experiments are presented and the preliminary results are satisfying.
出处
《合肥工业大学学报(自然科学版)》
CAS
CSCD
2004年第10期1187-1190,共4页
Journal of Hefei University of Technology:Natural Science
基金
安徽省教育厅自然科学研究项目(2003kj011zd)