Compression and retrieval of radiology images by using HEVC standard

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Yamaghani Mohammadreza; ZARGARI FARZAD

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Journal Paper

Paper Information

Journal: MACHINE VISION AND IMAGE PROCESSING Year:2018 | Volume:5 | Issue:1 Page(s): 129-139

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Information Journal Paper

Title

Compression and retrieval of radiology images by using HEVC standard

Author(s)

Yamaghani Mohammadreza | ZARGARI FARZAD | Issue Writer Certificate

Keywords

Content based medical image retrieval

Lossless compression

prediction modes histogram

HEVC video coding standard

Abstract

Ever increasing number of radiology images makes their storage and classification a challenging issue. In this paper a new method for compression and retrieval of radiology images in HEVC compressed domain is introduced. In this method the radiology images are coded as I-frames in HEVC standard. The prediction mode histogram along with PU size histogram of the coded images are used for classification and retrieval of radiology images. Experimental results indicate that the proposed method achieves in average 95% accuracy in classification and P@35 of 89% for radiology images which are superior to the other methods.

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APA: Copy

Yamaghani, Mohammadreza, & ZARGARI, FARZAD. (2018). Compression and retrieval of radiology images by using HEVC standard. MACHINE VISION AND IMAGE PROCESSING, 5(1 ), 129-139. SID. https://sid.ir/paper/359883/en

Vancouver: Copy

Yamaghani Mohammadreza, ZARGARI FARZAD. Compression and retrieval of radiology images by using HEVC standard. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2018;5(1 ):129-139. Available from: https://sid.ir/paper/359883/en

IEEE: Copy

Mohammadreza Yamaghani, and FARZAD ZARGARI, “Compression and retrieval of radiology images by using HEVC standard,” MACHINE VISION AND IMAGE PROCESSING, vol. 5, no. 1 , pp. 129–139, 2018, [Online]. Available: https://sid.ir/paper/359883/en

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