情報処理学会 第75回全国大会講演要旨

According to the Gestalt principles, this paper presents a method for recognizing grouping areas of good continuity in trademark images. The purpose of this investigation is to enhance performances of　content-based image retrieval by mirroring human perception. On recognizing grouping areas on good continuity, the physical factors suggested by the Gestalt Psychology are: proximity between couples of components in a set of components in one image and shape similarity between these components. Considering the factors, the proposed method measures proximity between every couple of components and judges whether the couple could be a part of the grouping area using a support vector machine. Then, the proposed method extracts features on shape similarity from every component and measures difference of the features between every couple of components. After then, using the difference, the couple is judged as well as the case of proximity. The learning data in the SVM are determined by results of questionnaire on good continuity for 75 sample images. To examine performance of the proposed method, another 75 trademark images have been tried and experimental results have shown correspondence ratios between grouping patterns output by the proposed method and results of the questionnaire have been more than 85.41%.