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(shí)驗結果表明，本文提出的方法在圖像語(yǔ)義分類(lèi)的準確性方面要優(yōu)于諸如采用色彩特征和紋理特征的支持向量機分類(lèi)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. 提出一種基于內容的中國畫(huà)識別與分類(lèi)方法，通過(guò)顏色和紋理特征來(lái)表現中國畫(huà)圖像的可視內容。
