Buchumschlag

AI Test Modeling for Computer Vision System—A Case Study

Gespeichert in:
Veröffentlicht in:Computers vol. 14, no. 9 (2025), p. 396-418
1. Verfasser: Gao, Jerry
Weitere Verfasser: Agarwal Radhika
Veröffentlicht:
MDPI AG
Schlagworte:
Software
Computer vision
Artificial intelligence
Automation
Modelling
Vision systems
Autonomous vehicles
Online-Zugang:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!
Abstract:This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and comprehensive coverage analysis. A case study using the Seek by iNaturalist application demonstrates the framework’s applicability to real-world CV tasks. It effectively identifies species and non-species under varying image conditions such as distance, blur, brightness, and grayscale. This study contributes a structured methodology that advances our academic understanding of model-based CV testing while offering practical tools for improving the robustness and reliability of AI-driven vision applications.
ISSN:2073-431X
DOI:10.3390/computers14090396
Quelle:Advanced Technologies & Aerospace Database