Quality evaluation of virtual slides using methods based on comparing common image areas

Author:

Walkowski Slawomir,Szymas Janusz

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Histology,Pathology and Forensic Medicine

Reference4 articles.

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2. Mikkilineni AK, Chiang PJ, Ali GN, Chiu GTC, Allebach JP, Delp EJ: Printer Identification Based on Graylevel Co-occurrence Features for Security and Forensic Applications. Proceedings of Security, Steganography, and Watermarking of Multimedia Contents VII, San Jose, California, USA, January 17-20, 2005. Edited by: Delp EJ, Wong PW. 2005, Proceedings of SPIE, 5681: 430-440.

3. Haralick RM, Shanmugam K, Dinstein I: Textural Features for Image Classification. IEEE Transactions on Systems, Man and Cybernetics. 1973, SMC-3 (No. 6): 610-621. 10.1109/TSMC.1973.4309314.

4. Aria EH, Saradjian MR, Amini J, Lucas C: Generalized Cooccurrence Matrix to Classify Irs-1d Images Using Neural Network. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences. 2004, 35 (Part 7): 117-122.

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