Stone Carving Art Image Recognition Approach Based on Artificial Neural Network

Abstract

Contraposing to the research on technology and application of stone carving art image and computer image recognition, this paper analyses and explores the art and computer aspects, and puts forward corresponding research approach. Firstly, the image preprocessing method based on morphological transformation technology is proposed. Then the specific features of stone carving image are analyzed, and the measures of feature extraction are also put forward. Finally, the strategy of image template matching is studied, and the genetic algorithm and BP network are integrated to solve the problem that BP algorithm is easy to fall into local minimum in image recognition. The automatic recognition system of the stone carving image is preliminarily realized. The experimental results show that the proposed image recognition scheme has high recognition accuracy and fast calculation speed, with good recognition effect which has been achieved through experiments.