Sketch-based image matching using angular partitioning
Sketch-based image matching using angular partitioning
复制标题
DOI：
10.1109/tsmca.2004.838464
复制
发表时间：
2005-01-01
影响因子：
--
通讯作者：
Mertins, A
中科院分区：
文献类型：
--
作者：
Chalechale, A;Naghdy, G;Mertins, A
本文提出了一种新的图像相似性度量方法，将手绘的粗略黑白草图与现有的全彩图像(艺术品和照片)数据库进行比较。所提出的系统在评估不精确的、容易输入的草图信息方面创造了环境智能。然后，系统可以向用户提供在数据库中检索相似图像或对照给定标准(即，原始图像模型)对草图的质量进行排名的选项。或者，可以利用系统的固有模式匹配能力来允许在视觉驱动的环境智能应用中检测任何给定的实时图像序列中的失真。该方法可以处理非均匀背景中含有多个复杂目标的图像。利用模型图像的强边缘和草图图像的形态细化轮廓获得两个抽象图像。然后利用抽象图像中像素的角度空间分布，利用傅里叶变换提取新的紧凑而有效的特征。提取的特征具有旋转和尺度不变性，对平移具有较强的鲁棒性。7种不同方法的实验结果证实了该方法在检索性能和特征提取和搜索所需时间方面的有效性。
This paper presents a novel method for image similarity measure, where a hand-drawn rough black and white sketch is compared with an existing data base of full color images (art works and photographs). The proposed system creates ambient intelligence in terms of the evaluation of nonprecise, easy to input sketched information. The system can then provide the user with options of either retrieving similar images in the database or ranking the quality of the sketch against a given standard, i.e., the original image model. Alternatively, the inherent pattern-matching capability of the system can be utilized to allow detection of distortion in any given real time-image sequences in vision-driven ambient intelligence applications. The proposed method can cope with images containing several complex objects in an inhomogeneous background. Two abstract images are obtained using strong edges of the model image and the morphologically thinned outline of the sketched image. The angular-spatial distribution of pixels in the abstract images is then employed to extract new compact and effective features using the Fourier transform. The extracted features are rotation and scale invariant and robust against translation. Experimental results from seven different approaches confirm the efficacy of the proposed method in both the retrieval performance and the time required for feature extraction and search.