Image Processing Method Based on Algorithm-FGCA and Neural Network.

Registration ID: IJNRD_202939

Published ID: IJNRD2308009

DOI: Click Here to Get

Dr. Vijayaraghavan A

Key: Image, Processing, Method, Algorithm,FGCA, Neural Network..

People are increasingly in need of medical treatment as human sub-health issues worsen. Doctors employ medical image analysis to intuitively get the morphological information of the diseased portion, allowing them to more accurately diagnose the disease in the face of an infinite stream of illnesses. The treatment of people's illnesses, as well as subsequent surveillance and recovery, depend on the analysis of medical pictures. As a result, it is important to keep up with the advancement and innovation in image processing. The current medical image processing technology still has issues, such as noise and low picture contrast, due to the ongoing rise in illnesses as well as technological innovation and progress. Artificial neural networks and fuzzy genetic clustering algorithms can be used to improve the precision and efficacy of image processing. In light of the aforementioned issues, data analysis and research on image processing techniques based on the fuzzy genetic clustering algorithm (FGCA) and artificial neural network (ANN) have been conducted for this study. According to the study's findings, the segmentation entropy is lowest (0.0885) and the FGCA segmentation coefficient is biggest (0.9756 and 0.9758, respectively), when there is no noise and 5% salt and pepper noise. The liver CT (Computed Tomography) image segmentation approach based on DeepLab V3+ has the greatest PA, Mlou value, and Dice coefficient, which are 88.8%, 95.9%, and 94.8%, respectively. This method has established the groundwork for the development and innovation of image processing techniques.

Published Paper   E-Certificate

Dr. Vijayaraghavan A (August-2023). Image Processing Method Based on Algorithm-FGCA and Neural Network.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(8), a71-a77. https://ijnrd.org/papers/IJNRD2308009.pdf

Volume 8 Issue 8, August-2023

Pages : a71-a77

Paper Reg. ID: IJNRD_202939

Published Paper Id: IJNRD2308009

Downloads: 000121990

Research Area: Computer Science & Technology 

Country: Tumkur, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308009.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308009

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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