Распознавание текстур зон износа режущих инструментов на основе анализа энергетических спектров Фурье их изображений

Abstract

An approach of texture recognition of cutting tools wear areas on the basis of power spectrums Fur'e analysis of their images is discussed. The system of wear areas texture recognition is programmatic realized on the basis of their spectrology. The computer design of the systems working confirmed possibility of application an approach for different cutting part textures classes recognition. The got results are created by prospects for the "maps of texture classes", forming for cutting part, representing the display of one or another mechanisms of wear on the different areas of contact surfaces of cutting tools.