Testing of Bloodshed Image Interpolation Application for Analysis of Anti-Aliasing Effect

Authors

  • Prachi Rohit Rajarapollu Amravati University
  • Vijay R. Mankar

Keywords:

anti-aliasing, image processing, medical image, artifact removal

Abstract

From decade, cancerous tumor segmentation has become a developing research area in the field ofthe medical imaging system. Tumor analysis can find the exact area and position of the tumor, but blood veins andplasma fluid commonly overlaps the timorous area and image analysis became difficult. In this paper, an efficientalgorithm is proposed for pre-surgical tumor analysis based on pixel segmentation and anti-aliasing. Initially, thescanned image is pre-processed, filtered and enhanced using a newly developed algorithm to detect the particulartumor with clear visibility of the scanned image. In this paper, we present bloodshed aliasing technique which may beuseful in pre-surgery and post-surgery sessions. The proposed algorithm can be utilized as a generic application forforensic investigation.

Author Biography

Prachi Rohit Rajarapollu, Amravati University

Electronics & Telecommunication Emgineering

References

Rajarapollu, Prachi, and Vijay Mankar. "High Performance Algorithm Development For Inventive Micro-Patch Anti-

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algorithms." Multimedia Tools and Applications (2016): 1-18.

Jiang, Xu-dong, et al. "Image anti-aliasing techniques for Internet visual media processing: a review." Journal of

Zhejiang University SCIENCE C 15.9 (2014): 717-728.

Jiang, Xuyi, et al. "Improved directional weighted interpolation method combination with anti-aliasing FIR

filter." Imaging Systems and Techniques (IST), 2015 IEEE International Conference on. IEEE, 2015.

Kolivand, Hoshang, and Mohd Shahrizal Sunar. "Anti-aliasing in image based shadow generation techniques: a

comprehensive survey." Multimedia Tools and Applications 74.18 (2015): 7461-7487.

Wadhwa, Neal, et al. "Deviation magnification: revealing departures from ideal geometries." ACM Transactions on

Graphics (TOG) 34.6 (2015): 226.

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Published

2016-08-15

How to Cite

Rajarapollu, P. R., & Mankar, V. R. (2016). Testing of Bloodshed Image Interpolation Application for Analysis of Anti-Aliasing Effect. Asian Journal of Computer and Information Systems, 4(4). Retrieved from https://www.ajouronline.com/index.php/AJCIS/article/view/3886

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Section

Articles