数字图像中的物体自动计数系统

IF 3.2 2区哲学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Minerva Pub Date : 2023-12-01 DOI:10.47460/minerva.v4i12.132

Maikol Rivas, Eladio Lobo

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引用次数: 0

摘要

在库存中，物品计数和反应速度变得至关重要。当只有几个项目时，这个过程更直接，但当有许多紧密或重叠的项目时，它的复杂性就显现出来了。此外，满足紧迫的库存截止日期的压力也增加了另一个挑战。这项工作旨在开发一种程序，可以自动准确地计数数字图像中的相似物体，无论它们的数量或排列如何。为此，在Python中实现了一个算法。主要结果表明，在分析具有相似目标的图像方面具有效率，这是在各个科学领域分离和准确计数相邻目标的重要一步。该解决方案有望简化和加快数字图像的计数过程，在多个科学学科中具有潜在的有益应用。

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Automated Object Counting System in Digital Images

In inventories, the context of object counting and speed of response becomes essential. The process is more straightforward when there are only a few items, but its complexity lies when there are many close or overlapping items. In addition, the pressure to meet tight inventory deadlines adds another challenge. This work aimed to develop a program that automates the accurate counting of similar objects in digital images, regardless of their quantity or arrangement. For this purpose, an algorithm has been implemented in Python. The main results show efficiency in analyzing images with similar objects, a significant step towards separating and accurately counting adjacent objects in various scientific fields. This solution promises to simplify and speed up the counting process in digital images, with potential beneficial applications in multiple scientific disciplines.

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来源期刊

Minerva Multiple-

CiteScore

5.20

自引率

4.30%

发文量

期刊介绍： Minerva is devoted to the study of ideas, traditions, cultures and institutions in science, higher education and research. It is concerned no less with history than with present practice, and with the local as well as the global. It speaks to the scholar, the teacher, the policy-maker and the administrator. It features articles, essay reviews and ''special'' issues on themes of topical importance. It represents no single school of thought, but welcomes diversity, within the rules of rational discourse. Its contributions are peer-reviewed. Its audience is world-wide.