Conceptualization of seeded region growing by pixels aggregation. Part 1: the framework
Vincent Tariel

TL;DR
This paper presents a framework for implementing the seeded region growing by pixels aggregation (SRGPA) algorithm, enhancing implementation speed, efficiency, and bridging the gap between mathematical concepts and practical coding.
Contribution
It introduces a novel framework based on localization and organization concepts that simplifies and accelerates the implementation of SRGPA algorithms.
Findings
Framework improves implementation speed
Enhances algorithm efficiency
Provides direct translation from theory to code
Abstract
Adams and Bishop have proposed in 1994 a novel region growing algorithm called seeded region growing by pixels aggregation (SRGPA). This paper introduces a framework to implement an algorithm using SRGPA. This framework is built around two concepts: localization and organization of applied action. This conceptualization gives a quick implementation of algorithms, a direct translation between the mathematical idea and the numerical implementation, and an improvement of algorithms efficiency.
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Taxonomy
TopicsSmart Agriculture and AI · Leaf Properties and Growth Measurement · Retinal Imaging and Analysis
