Recognition of Foreign Objects in Food Images Using Support Vector Machine

摘要

Ensuring food quality and safety is one of the important tasks of food production enterprises. In this paper, a foreign body recognition method based on Support Vector Machine (SVM) for food image is proposed. Firstly, the X-ray image of food is segmented by automatic threshold method, and then the feature is extracted and classified. The simulation results show that compared with BP neural network and K-nearest neighbor algorithm, SVM algorithm has better stability and more effective accuracy to realize the classification.