Color and Texture Feature Recognition of Traditional Pen and Ink Painting Based on Visual Sensor

Abstract

Visual inspection technology testing is an application of machine vision theory. In recent years, this field has become an important and rapidly developing field of instrumentation and engineering research. Based on the vision sensor technology, this paper launches the research on the color and texture feature recognition of pen and ink painting. This article first researches the power supply system and obtains the power supply scheme diagram, and then tests the visual sensor in five steps and appropriately optimizes the parameters. Finally, 6 sets of comparative experiments were carried out, each of which was 100 times to identify the color and texture of the pen-and-ink painting. The experimental results are as follows: the number of successful color recognition is 97, 95, 90, 94, 92, and 96 times, and the number of successful texture recognition is 84, 87, 82, 91, 96, and 97 times.