Experimental results show that the proposed approach is more accurate in image semantic classification than other ones, such as SVMs classifier using color and textural features. 實驗結果表明，本文提出的方法在圖像語義分類的準確性方面要優於諸如採用色彩特徵和紋理特徵的支持向量機分類器的其它方法。
The paper proposes a content-based identification and classification system that represents the visual content of TCP images by chromatic and textural feature set. 提出一種基於內容的中國畫識別與分類方法，通過顏色和紋理特徵來表現中國畫圖像的可視內容。
