Digital Image Processing Applied To Object Segmentation By Intensity And Motion

TL;DR

This paper presents a Java-based implementation using OpenCV for object detection and segmentation in digital images, focusing on RGB color analysis to support future autonomous robotic applications.

Contribution

It introduces a novel algorithm for object segmentation based on intensity and motion, implemented in Java with OpenCV, for use in autonomous robotics.

Findings

Successful object detection and segmentation using RGB color model

Implementation in Java with OpenCV demonstrates practical viability

Foundation laid for autonomous robotic vision applications

Abstract

The current technological development allows us to carry out tasks that some time ago were unthinkable if not impossible, digital image processing has been one of the major constants of development today, taking into account that its implementation dates from a short time ago, OpenCV [1] is a tool focused on machine vision, In this case implemented in an object-oriented programming platform based on Java language offered by the NetBeans development software, based on the above, a physical platform was proposed and implemented as a closed environment which through the development of an algorithm allowed detection and segmentation of objects by means of the RGB color model; In future works this algorithm will provide the information base for the autonomous robotic platform; this advance opens a wide spectrum for the development of applications and tools in the field of artificial vision.