Global System for Mobile Communication based Automatic Alarm System for Disaster Management

Singh, Vibhu; Karan,; Panwar, Vansh; Kaur, Mandeep; Rakesh, Nitin; Nand, Parma

doi:10.23919/indiacom54597.2022.9763116

Cited by 2 publications

(1 citation statement)

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“…Its primary objective is to pinpoint and delineate abrupt transitions in intensity or color within an image, often signifying object boundaries or other salient image features. Broadly categorized into two main methodologies, edge detection methods can be classified as either gradient-based or Laplacian-based [3,7,28,29,31,35,37,39,42,43] Gradient-based techniques identify edges by scrutinizing the gradient, or the first derivative, of the image. These methods aim to locate points in the image where intensity changes occur rapidly, typically marked by maximum or minimum values in the first derivative.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fractional Edge Detector Based on Generalized Fractional Operator

Elgezouli,

Abdoon,

Belhaouari

et al. 2024

Eur. J. Pure Appl. Math.

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This work pioneers a novel approach in image edge detection through the utilization of the generalized fractional operator. By harnessing the global attributes inherent in fractional derivatives, it aims to enhance the extraction of intricate edge details.This is accomplished by creating the mask by using fractional derivative and adapt the mask by another parameter, yielding compelling and informative edge representations, as validated by experimental results. This advancement not only augments computer vision and image analysis techniques but also holds promise for refining image processing methodologies. Future endeavors may explore its adaptability across diverse imaging domains like medical and satellite imagery, while integration into deep learning frameworks could elevate its potential for advanced feature extraction and deeper image understanding. Additionally, optimizing its computational efficiency would broaden its scope for real-time deployment in fields such as robotics and autonomous systems.

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