This paper proposes an algorithm based on curve evolution for unsupervised texture segmentation.
提出了一种基于曲线演化的非监督式纹理分割算法。
The algorithm is not only effective for the image of front magnetic curve, also effective for image segmentation of other similar histograms.
该算法不仅仅对前磁曲线图像有效，对具有与其相似直方图的图像，均可用该算法进行图像分割。
The Mumford-Shah model is more robust than curve evolution model to detect discontinuities under noisy environment, so it is more suitable for segmentation of noisy jacquard images.
提花织物图像分割是提花图案设计的关键，曲线演化模型是一种流行的图像分割方法，但是该方法无法检测含噪环境下的图像特征。
Level Set methods are robust and efficient numerical tools for resolving curve evolution in image segmentation.
水平集方法应用于图象分割的曲线或曲面进化问题，是一种稳定有效的数值计算方法。
The nonlinear parameter identification of fuel cell polarization curve was converted into two sub-problems of linear least square identification based on interval segmentation technique.
基于区间分段思想，将极化曲线非线性参数辨识转化为两个线性最小二乘辨识子问题。
The nonlinear parameter identification of fuel cell polarization curve was converted into two sub-problems of linear least square identification based on interval segmentation technique.
基于区间分段思想，将极化曲线非线性参数辨识转化为两个线性最小二乘辨识子问题。
应用推荐