计算机科学 ›› 2010, Vol. 37 ›› Issue (1): 279-281.
• 图形图像及体系结构 • 上一篇 下一篇
束鑫,吴小俊,潘磊
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SHU Xin,WU Xiao-jun,PAN Lei
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摘要: 提出了一种新的基于最小外接圆补偿机制的二值形状图像检索算法,其不仅提取了目标区域的特征,而且补偿了目标最小外接圆下的背景区域特征。提取常用于描述区域特征的Hu不变矩和Zernike不变矩作为图像特征,不变矩特征具有平移、缩放、旋转不变性。图像相似度用归一化特征向量的欧氏距离表示。该方法不仅计算简单,而且可有效补偿人眼的视觉感受。通过大量实验表明,该算法较仅基于目标区域的检索算法取得了更好的检索精度和回召率。
关键词: 背景补偿,Hu矩,Zernike矩,形状,图像检索
Abstract: A novel shape image retrieval algorithms based on compensation mechanism under miminum circumscribed circle was proposed in this paper, which not only extract the features of the target area, but also compensate the background characteristics of the object under miminum circumscribed circle. Extracting the Hu invariant moments and Zernike moment invariants,commonly used in the description of the regional characteristics,as image features. Moment invariants have the unchanged characteristics of translation, scaling and rotating. Similarity is given by the Euclidean distance between two images' normalized moment vectors. hhe approch is implemented simply, and compensates the human eye's visual experience effectively. A large number of experiments shown that the approach can achieve better accuracy and recall rate than that based on an object area only.
Key words: Background compensation, Hu momnets, Zernike moments, Shape, Image retrieval
束鑫,吴小俊,潘磊. 基于最小外接圆补偿机制的形状图像检索[J]. 计算机科学, 2010, 37(1): 279-281. https://doi.org/
SHU Xin,WU Xiao-jun,PAN Lei. Shape Image Retrieval Based on Compensation Mechanism under Minimum Circumscribed Circle[J]. Computer Science, 2010, 37(1): 279-281. https://doi.org/
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