The experimental results demonstrate the effectiveness of ISBEC for color-texture segmentation of natural images.
实验结果验证了ISBEC对自然图像色彩—纹理分割的有效性。
An effective method for image segmentation based on color and texture features is proposed.
文章提出了一种有效的基于颜色和纹理综合特征的图像分割方法。
Most existing texture segmentation approaches focus on gray texture images, while this paper presents a color texture image segmentation method, which is based on fractal theory and BP neural network.
现有的纹理分割方法大多集中于研究灰度纹理图像，文中提出一种基于分形理论和BP神经网络的彩色纹理图像分割方法。
To segment some color texture image, this paper improves the three dimensinal LEGION in order to obtain the better result for the color image segmentation of rock samples.
在此基础上，还针对某些彩色图像中含有纹理性质目标的情况，对这种方法进行了改进，将此用于彩色岩芯切片图像的分割取得了较好的效果。
Most existing texture segmentation approaches focus on gray texture images, this paper proposes an algorithm of color texture segmentation that combine the fractal texture feature with color.
现有的纹理分割方法大多集中于研究灰度纹理图像，该文提出了一种基于分形纹理特征和颜色信息结合的彩色纹理分割算法。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
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