Research on Image Region Classification Based on Automatic Segmentation

摘要: To deal with rough image region segmentation results, a common method of bag-ofwords in statistical text is proposed the paper. The splits regional objects to numerous small blocks, from which semantic concepts are fetched; then, through application multi-instance learning idea and computation type confidence degree each concept, impacts errors on such can be effectively eliminated, thus feature various object obtained.