ISSN : 2663-2187

RPCST: A NOVEL APPROACH TO RAPID PREDICTION AND FEATURE EXTRACTION IN IMAGE PROCESSING

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Dr.J. Ghayathri, Dr. Kuppala Saritha, R Muruganandham, Dr.S.Sridevi, R. Shobana Devi ,Dr.M.Renuka Devi
ยป doi: 10.33472/AFJBS.6.10.2024.5780-5789

Abstract

Alzheimer's is a type of dementia that leads to problems with memory, thinking and behavior. Alzheimer's is the most common form of dementia, a general term for memory loss and other intellectual abilities serious enough to interfere with daily life. AD has no cure, but treatments to reduce symptoms are available and research continues. To reduce symptoms and to stanch the disease early diagnosis has a huge importance. Diagnosis is used to classification of AD Before classification accurate feature extraction is most important to improve the accuracy. This research proposed a new Twist Kernel Invariant Disparities (TKID) method to extract features after segmentation. This research extracts the following features are identified from this segmented image: Mean, SD, Entropy, RMS, Variance, Smoothness, Kurtosis, Skewness, IDM, Contrast, Correlation, Energy, Homogeneity, colour, size, shape, dimensions, convex and concave.

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