Assessment and filtering of mental state Image using Avalanche Oozing (A-O) Algorithm

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Jatinder Kaur
Sharnjeet Kaur
Dr. Sajjan Singh

Abstract

Image filtering plays very important role in every field, for correct assessment of any condition. Condition may be related with medical field, satellite data or any written data evaluation. Noise reduction is a process through which a received image visibility can be enhanced by removing unwanted effect from that image by using various algorithms. This paper encompasses the filtering of biomedical image using Avalanche Oozing (AO) algorithm. First section of this work includes the general introduction of image analysis, after that the various types of image noises was described. Then problem formulation and objectives of this paper have been listed. Further results of predefined and A-O method have been compared by using various image.

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Author Biographies

Jatinder Kaur, Chandigarh Group of Colleges Technical Campus

Department of Electronics & Communication Engineering Chandigarh Group of Colleges Technical Campus, Jhanjeri

Sharnjeet Kaur, Chandigarh Group of Colleges Technical Campus

Department of Electronics & Communication Engineering, Chandigarh Group of Colleges Technical Campus, Jhanjeri

Dr. Sajjan Singh, Chandigarh Group of Colleges Technical Campus

Department of Electronics & Communication Engineering, Chandigarh Group of Colleges Technical Campus, Jhanjeri

How to Cite

[1]
“Assessment and filtering of mental state Image using Avalanche Oozing (A-O) Algorithm”, IJCSR, vol. 2, no. 3, pp. 72–75, Jun. 2024, doi: 10.37391/.

References

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Tasdizen, T., Whitaker, R., Marc, R. & Jones, B. “Automatic Correction of Non-uniform Illumination in Transmission Electron Microscopy Images”, Scientific Computing and Imaging Institute, University of Utah, UUSCI-2005-008

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