Kim, IJ Lee, JH Kwon, YM Park, SH 2024-01-19T17:39:24Z 2024-01-19T17:39:24Z 2022-03-07 1997 https://pubs.kist.re.kr/handle/201004/118771 We have proposed a composite feature measure, which combines the color and shape features of an image. We improved the performance of retrieval by color features that generated from efficient color quantization and considered the spatial correlation with the Histogram matrix matching method. We also supplemented the color information using shape information with the improved moment invariants. We have tested our technique on image database consisting of 200 actual trademark images. We showed that our method is the robuster than the previous method under the various situations such as rotation images, translation images, noise added images, gamma corrected images and so on. The efficiency of retrieval is found to be very high and experimental results are promising for practical applications. English IEEE Content-based image retrieval method using color and shape features Conference 10.1109/ICICS.1997.652119 1 1997 International Conference on Information, Communications and Signal Processing - Trends in Information Systems Engineering and Wireless Multimedia Communications, pp.948 - 952 1997 International Conference on Information, Communications and Signal Processing - Trends in Information Systems Engineering and Wireless Multimedia Communications 948 952 US SINGAPORE, SINGAPORE 1997-09-09 ICICS - PROCEEDINGS OF 1997 INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING, VOLS 1-3: THEME: TRENDS IN INFORMATION SYSTEMS ENGINEERING AND WIRELESS MULTIMEDIA COMMUNICATIONS 000072189000198 2-s2.0-0031384526 Proceedings Paper