Xây dựng giải thuật và kiến trúc phần mềm tìm kiếm ảnh dựa trên tập các đặc trưng
Main Article Content
Abstract
Content-based image retrieval, which provides convenient ways to retrieve
images from large image databases, has been studied actively. We presented a software
architecture which performs imagepresentatiog by the main featrures: color, histogram
and colorshape. An algorithm to measuresimilarity of two image features base on the
wavelet transform of the Histogram and Colorshape features and implementation
results also presented.
images from large image databases, has been studied actively. We presented a software
architecture which performs imagepresentatiog by the main featrures: color, histogram
and colorshape. An algorithm to measuresimilarity of two image features base on the
wavelet transform of the Histogram and Colorshape features and implementation
results also presented.
References
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2. Jiri Walder, Using 2-D wavelet analysis for matching two images, Technical Report, University of Ostrava Czech Republic, N.3, 2001, pp. 15-21.
3. Charles E. Jacobs Adam Finkelstein David H. Salesin, Fast multiresolution image querying, Department of Computer Science and Engineering University of Washington, http:I /grail.cs.washington.edu /projects / query / mrquery.pdf.
4. John R.Smith, Shih-Fu Chang, Quad-tree segmentation for texture-based image query, Proceedings of the second ACM international conference on Multimedia, San Francisco, California, United States, 1994, pp. 279 - 286.
5. Y. Rubner and c. Tomasi, Perceptual Metrics for Image Database Navigation. Kluwer Academic Publishers, Boston, December 2000, 137p.
6. V. Gudivada and V. Raghavan, Content-based image retrieval systems, IEEE
Computer, vol. 28, 1995, pp. 18-22.
7. Huỳnh Quyết Thắng, Lê Tấn Hùng, ứng dụng thư viện BKGRAPHICS trong xây dựng phần mềm xử lý ảnh y học V-doctor theo chuẩn DICOM”, Báo cáo tại FAIR 2003 uHội thảo Khoa học Quốc gia lần thứ nhất - Nghiên cửu cơ bản và ứng dụng Công nghệ thông tin”, Hà Nội, 4-5 / 10 / 2003, 7tr.