一种色彩向量的降维表示方法

提出了一种依据人眼的颜色视觉机制对真彩色显微生物图像进行分割的色彩向量的降维表示方法。该方法将由红绿蓝三色彩刺激经Karhunen Lo埁ｖｅ变换得到的Ｉ1I2 I3 色彩空间中的I1强度信息摒弃 ,将色彩特征由三维I1I2 I3 色彩空间向量降维为二维I2 I3 色彩向量。并以此I2 I3 色彩向量作为图像的色彩表示特征 ,运用反向传播网络对真彩色显微生物图像进行了分割实验。实验表明该方法应用于分割真彩色显微生物图像时 ,与采用I1I2色彩向量的降维方法相比 ,可优化色彩表示特征 ,加快网络的收敛速度 ,提高图像分割的正确率

A Method of Reducing Dimensions of Color Vector Representation

A new method of reducing the dimensions of color vector (CV) representation is proposed. By analyzing the color data distribution of true color digital micrographs (TCDM) of human leukocyte in I 1I 2I 3 CV representation spaces, the 3D CV representation is reduced to 2D I 2I 3 CV representation based on the human visual system. Employing the I 2I 3 CV representation as the CV representation of images, the TCDMs of human leukocyte is segmented with back\|propagation (BP) network. The experimental results show that, comparing with the I 1I 2 CV representation, by using this I 2I 3 CV representation method the CV representation is optimized, the convergence of BP network is accelerated, and the accuracy of images segmentation is increased.