Detecting an object in a digital image

Authors: Levinskiy A.T., Rodionov I.D., Agaltsev S.S.
Published in issue: #1(18)/2018
DOI: 10.18698/2541-8009-2018-1-228
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics
Keywords: infrared image, algorithm, detection, object, digital image, processing, fragment, face recognition
Published: 20.12.2017

The investigation deals with a detection algorithm for processing digital images. The purpose of our work is to study and update the algorithm for detecting several objects in a digital image, and also to detect objects of various sizes during automated large-scale digital image processing. We accomplish our objective by scaling the image in question by means of determining maximum points, where the image best resembles the reference image. We experimented with various image formats, investigated the algorithm accuracy in the case of infrared images, and analysed the effects of digital noise and blurring for a large sample of images.

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