Content-Based Image Retrieval: A New Promising Technique in Powder Technology

REFERENCES

• Ezler M., Sanderson M. S. Particle size analysis: a comparative study of various methods. Part. Part. Syst. Charact. 1995; 12: 217–224
   Google Scholar
• Andrés C., Réginault P., Rochat M. H., Chaillot B., Pourcelot Y. Particle size distribution of a powder: comparison of three analytical techniques. Int. J. Pharm. 1996; 144: 141–146
   Web of Science ®Google Scholar
• Eriksson M., Alderborn G., Nyström C., Podczeck F., Newton J. M. Comparison between and evaluation of some methods for the assessment of spherity of pellets. Int. J. Pharm. 1997; 148: 149–154
   Web of Science ®Google Scholar
• Hundal H. S., Rohani S., Wood H. C., Pons M. N. Particle shape characterization using image analysis and neural networks. Powder Technol. 1997; 91: 217–227
   Google Scholar
• Podczeck F. A shape factor to assess the shape of particles using image analysis. Powder Technol. 1997; 93: 47–53
   Web of Science ®Google Scholar
• Gudivada V. N., Raghavan V. V. Content-based image retrieval systems. IEEE Comput. 1995; 28(9)18–21
   Google Scholar
• Aigrain P., Zhang H., Petkovic D. Content-based representation and retrieval of visual media: a state-of-the-art review. Multimedia Tools Applications 1996; 3: 179–202
   Web of Science ®Google Scholar
• Bach J. R., Fuller C., Gupta A., Hampapur A., Horowitz B., Humphrey R., Jain R., Shu C. The Virage image search engine: an open framework for image management, storage and retrieval for image and video databases. Proc. SPIE-Int. Soc. Opt. Eng. 1996; 2670: 76–87
   Google Scholar
• Ng V., Cheung D., Fu A. Medical image retrieval by color content. Proc. IEEE Int. Conf. System, Man Cybernetics: Intelligent Syst. 21st Century 1995; 3: 1980–1985
   Google Scholar
• Smith J. R., Chang S. -F. Tools and techniques for color image retrieval, storage and retrieval for image and video databases. Proc. SPIE-Int. Soc. Opt. Eng. 1996; 2670: 426–437
   Google Scholar
• Mehrotra R., Gary J. E. Similar-shape retrieval in shape data management. IEEE Comput. 1995; 28(9)57–62
   Google Scholar
• You J., Shen H., Cohen H. A. An efficient parallel texture classification for image retrieval. J. Lang. Comput. 1997; 8: 359–372
   Google Scholar
• Pentland A., Picard R. W., Scarloff S. Photobook: Tools for content-based manipulation of image databases, storage and retrieval for image and video databases II. Proc. SPIE-Int. Soc. Opt. Eng. 1994; 2185: 34–47
   Google Scholar
• Caelli T., Reye D. On the classification of image regions by colour, texture and shape. Pattern Recognit. 1993; 26: 461–470
   Google Scholar
• Niblack W., Barber R., Equitz W., Flickner M. B., Glasman E., Petkovic D., Yanker P., Faloutsos C., Taubin G. The QBIC Project: Querying images by content using color, texture and shape, storage and retrieval for image and video datbases. Proc. SPIE-Int. Soc. Opt. Eng. 1993; 1908: 173–181
   Google Scholar
• Faloutsos C., Barber R., Flickner M., Hafner J., Niblack W., Petkovic D. Efficient and effective querying by image content. J Intell. Information Syst. 1994; 3: 231–262
   Google Scholar
• Ashley J., Barber R., Flickner M., Hafner D., Lee D., Niblack W., Petkovic D. Automatic and semi-automatic methods for image annotation and retrieval in QBIC, storage and retrieval for image and video databases III. Proc. SPIE-Int. Soc. Opt. Eng. 1995; 2420: 24–35
   Google Scholar
• Del Bimbo A. Image and video databases: Visual browsing, querying and retrieval. J Visual Lang. Comput. 1996; 7: 353–359
   Google Scholar
• Sonka M., Hlavac V., Boyle R. Image Processing, Analysis and Machine Vision. Chapman & Hall, New York 1993
   Google Scholar
• Smith J. R., Chang S. -F. Visual SEEk: A fully automated content-based image query system. Proc. ACM–Int. Conf. Multimedia 1996; 96: 87–96
   Google Scholar
• Hou T. -Y., Liu P., Hsu A., Chiu M. -Y. Medical image retrieval by spatial features. Proc. IEEE-Int. Conf. Syst., Man Cybernetics 1992; 1364–1369
   Google Scholar
• Gupta A., Moezzi S., Taylor A., Chatterjee S., Jain R., Goldbaum M., Burgess S. Content-based retrieval of ophthalmological images. IEEE–Int. Conf. Image Process. 1996; 3: 703–706
   Google Scholar
• Manjunath B. S., Ma W. Y. Browsing large satellite and aerial photographs. IEEE—Int. Conf. Image Process. 1996; 2: 765–767
   Google Scholar
• Ratha N., Karu K., Chen S., Jain A. A real-time matching system for large fingerprint databases. IEEE Trans. PAMI 1996; 18(8)799–812
   Google Scholar
• Soffer A., Samet H. Retrieval by content in symbolic-image databases storage and retrieval for image and video databases IV. Proc. SPIE-Int. Soc. Opt. Eng. 1996; 2670: 144–155
   Google Scholar
• Flickner M., Sawhney H., Niblack W., Ashley J., Huang Q., Dom B., Gorkani M., Hafner J., Lee D., Petkovic D., Steele D., Yanker P. Query by image and video content: The QBIC System. IEEE Comput. 1995; 28(9)23–31
   Google Scholar