Attribute based Level Adaptive Thresholding Algorithm for Object Extraction

Authors

  • Ankush Rai Department of Applied Science, CRIAD Laboratories, Chhattisgrah, India

DOI:

https://doi.org/10.37591/joarb.v1i1.143

Abstract

Image processing plays a vital role in the computer vision because most of the scenarios require object extraction and recognition. In order to utilize these images for the procedural analysis of the environmental entities in computational means, it must be a noiseless one. However, the images are affected through noises caused by the various acquisition techniques and hence an effective technique for denoising and segmentation is necessary in Computational Tomography. In order to achieve this objective we propose an effective denoising technique which confiscates the advantages offered in thresholding methods.

Keywords: Computer Vision, Image Segmentation, Image denoising

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Published

2020-02-25

Issue

Vol. 1 No. 2 (2014)

Section

Research Articles

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