SOME REFINEMENTS OF ALGORITHMS FOR TWO-DIMENSIONAL VISUAL PATTERN RECOGNITION
Keywords:
two-dimensional visual pattern recognition, classification, image processingAbstract
This paper analyzes the current challenges of two-dimensional visual pattern recognition and formulates a general approach to refining recognition algorithms. The proposed theoretical model emphasizes structural invariance and robustness under noisy and incomplete visual conditions. The expected results involve developing a set of criteria for evaluating recognition stability and efficiency under real-world constraints.
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