Abstract
Abstract
Paper presents the new objects identification/recognition method, designed for modern image sensors. One of the main features of the method proposed is that it is initially focused on presenting the input data as a discrete set of photocounts of image sensors. The developing of the method was based on the machine learning approaches, so the synthesized identification algorithms are principally focused on the modern embedded computations. The results of numerical simulation are given at the end of the paper.
Subject
General Physics and Astronomy
Reference21 articles.
1. Techniques for Object Recognition in Images and Multi-Object Detection;Khurana;Int. J. of Advanced Research in Computer Engineering & Technology,2013
2. Survey of Biologically Inspired Image Processing for Objects Recognition;Weiren Shi;Int. J. Image Graphics,2009
3. A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity;Yin;IEEE Trans. Cognitive and Developmental Systems,2018
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献