基于计算机视觉的败血性水果成熟度检测与等级评定研究进展

M. Nurullah, Badhan Mazumder
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引用次数: 0

摘要

腐毒果蔬的感官品质标志样外观不仅影响其市场价值、消费者的消费倾向和偏好,还在一定程度上影响其内在品质。手工检验水果的外观质量非常耗时、繁琐、费力、不一致且容易出错。因此,有必要为水果分级和分类一个精明的系统被认为。由于过去几十年的技术进步,利用各种图像分析技术,在成熟度分类领域出现了许多算法和技术方法,以及强大而科学的仪器。本文叙述了计算机视觉系统的应用和最新发展,各种算法,方法和技术的分类和分级的详细和比较概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Septic Fruit's Maturity Inspection and Grade Evaluation Adopting Computer Vision - A Review
A sensory quality token-like appearance of septic fruits and vegetables not only influences the market value, consumer's inclination and preference but also the interior quality to some extent. Inspection of the external quality of fruits which is performed manually is very time consuming, tedious, labor-intensive, inconsistent and error-prone. Hence, the necessity of an astute system for fruit grading and classification is perceived. For having technological advancement over the past few decades, a lot of algorithms and technical methods, powerful and scientific instruments have been revealed using a wide variety of image analysis techniques in the field of maturity classification. This paper narrates an elaborated and comparative overview of applications and latest developments of computer vision systems, various algorithms, methods and techniques for sorting and grading.
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