期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：4
页码：3426-3433
出版社：TechScience Publications
摘要：Image feature extraction is the process getting informative knowledge about that image that can be used in various applications that involve image matching and differentiation like face reorganization, pattern reorganization, etc. There are various feature extraction and vector calculation methodologies, we could find in the literature an available but still demand of details and accuracy could not meet as we could find in the literature survey. In this work we are proposing an efficient and detailed image extraction method for digital color images using k-NN algorithm. We could investigate it that inclusion of k-NN and image tagging can be very useful for feature extraction and matching of digital images as it gives detailed and huge extracted features that can be used in many of the applications. We are proposing a system which can extract and store the features and tags from the given set of images and finally this database becomes input to k-NN algorithm to produce more accurate and detailed results.
