关键词: 视觉检测, Par-King图像增强算法, 梯度方向直方图, 图像金字塔匹配

Abstract: Aiming at the visual inspection task of the mechanical parts in the image under the industrial scene, the circulant pedestrian detection algorithm is introduced. According to the need for detection accuracy, it uses Par-King image enhancement algorithm to improve the target and the separability of histogram features in background gradient direction to train the two different classifier models of SVM and frequency domain SVR through self-built data set. And the visual inspection of the test set image is carried out by using the image pyramid matching method in the variability part model algorithm. The experimental results show that the combined detection method has better detection accuracy to the regional block cyclic decomposition pedestrian detection algorithm.

Key words: visual inspection, Par-King image enhancement algorithm, histogram of gradient, image pyramid matching