A 2D Histogram-Based Image Thresholding Using Hybrid Algorithms for Brain Image Fusion

Abstract

In this article an effort is made to identify brain tumor disease such as neoplastic, cerebrovascular, Alzheimer's, lethal, sarcoma diseases by successful fusion of images from magnetic resonance imaging (MRI) and computed tomography (CT). Two images are fused in three steps: The two images are independently segmented by hybrid combination of Particle swam optimization (PSO), Genetic algorithm and Symbiotic Organisms Search (SOS) named as hGAPSO-SOS by maximizing 2-dimensional Renyi entropy. Image thresholding with 2-D histogram is stronger in the segmentation than 1-D histogram. Remove the segmented regions with Scale Invariant Feature Transform (SIFT) algorithm. Also after image rotation and scaling, the SIFT algorithm is excellent at removing the features. The fusion laws are eventually rendered on the basis of type-2 blurry interval (IT2FL), where ambiguity effects are reduced unlike type-1. The uniqueness of the proposed study is evaluated on specific data collection of benchmark Image fusion and has proven stronger in all criteria of scale.

Corporate Social Responsibility (CSR) Practices of Small Finance Banks in India

“…SFBs are a type of bank established by the RBI under the direction of the Government of India with the goal of promoting financial inclusion by providing basic banking services to underserved and poorly served segments such as small businesses, small and marginal farmers, micro and small industries, and unorganized entities. So, micro elements such as efficiency, ECS Transactions, 107 (1) 8321-8328 (2022) liquidity, leverage, and banking business of SFBs are critical in determining profitability in the early stages of operation (26).…”