A Novel Approach for the Identification of Morphological Features from Low Quality Images

• 作者: Guanglu Sun Huijuan Zhai Jian Kang Jingqun Song Weiqiang Xia Zhijun Hu
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Mathematical MORPHOLOGY Automatic image SEGMENTATION and analysis Active THRESHOLD MORPHOLOGICAL OPERATOR
• 年，卷（期）: 2016,（1）
• 页码范围: 12-14
• 页数: 3页
• 分类号: C5

摘要

In this paper, a novel mathematical morphological approach is proposed, which is combined with an active threshold-based method for the identification of morphological features from images with poor qualities. The algorithm is very fast and needs low computing power.First, a mixed smooth filtering is designed to remove background noises. Second, an active threshold-based method is discussed to create a binary image to achieve rough segmentation. Third, some simple morphological operations, such as opening, closing, filling, and so on, are designed and applied to get the final result of segmentation. After morphological analysis, morphological features, such as contours, areas, numbers, locations, and so on, are obtained. Finally, the comparisons with other conventional methods validate the effectiveness, and an additional experimental result proves the repeatability of the proposed method.