实验结果表明，该算法能有效地分割彩色图像，无需事先给定聚类数目和初始类中心。
The experiment shows that the method can effectively and adaptively segment color images without specifying the number and centers of initial clusters in advance.
而后选择了一种在特征空间进行非监督学习的算法，对彩色图像进行了分割，实验证明该方法识别率很高。
Then it studies segment color images in the feature space to choose a method which bases on non-supervise, and the experiments have testified the efficiency.
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。
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.
实验结果表明上述算法对噪声抑制和人体图像断裂处填充都是有效的，能够实时从彩色图像序列中分割出运动人体。
The experimental results demonstrate that the algorithm is efficient for noise suppression and image gap filling. It can extract the motion human silhouettes from color image sequence in real time.
结合实际林火图像的特点，提出了一种基于彩色图像分割策略的林火图像的火焰分割算法。
Based on the characteristics of actual forest fire images, a flame segmentation algorithm of forest fire images based on segmentation strategy of color images is presented.
针对于彩色卫星云图，改进了一种基于图像色彩和灰度值的算法，能够较好地分割提取出云层区域。
For the satellite images, the cloud regions were analyzed and segmented by an improved algorithm based on the color value and gray scale.
本文在研究模糊聚类算法和火灾图像特点的基础上，提出了一种基于改进FCM算法的彩色火灾图像分割方法。
A modified FCM algorithm for fire image segmentation is proposed in this paper based on the study of fuzzy clustering algorithm and characteristics of fire images.
本文在研究模糊聚类算法和火灾图像特点的基础上，提出了一种基于改进FCM算法的彩色火灾图像分割方法。
A modified FCM algorithm for fire image segmentation is proposed in this paper based on the study of fuzzy clustering algorithm and characteristics of fire images.
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