针对棒材图像自动计数存在的问题，提出了一种粘连棒材图像自动分割计数技术。
A method for automatic segmentation and counting of touching bar images is developed to solve the problems of bar images automatic counting.
借助于图像运动的变阶参数模型和鲁棒回归分析，提出一种基于运动分割的图像运动估计方法。
A motion based segmentation scheme for image motion estimation is proposed using variable order parameterized models of image motion and robust regression.
该方法对多粘连的棒材端面图像可以进行有效的分割，提高了物体识别和计数的准确率。
This new method can segment effectively and improve the accuracy of recognizing and counting these irregular and aggregated objects.
对左心室图像的分割实验证明了多分辨模型和常规方法相比具有更好的精确性和鲁棒性。
Segmentation of left ventricle images shows the higher accuracy and robustness of the proposed multi-resolution segmentation method than the conventional ones.
实验结果表明，本文方法对于复杂图像的分割具有很好的鲁棒性和有效性。
The experimental result shows that the method in this paper possesses robust and efficient for various types of complex images.
实验结果表明，该方法能够有效地分割图像，同时对噪声具有很好的鲁棒性。
The results of experiments show that the proposed method can segment the image effectively and properly, as well as is robust to noise.
实验结果表明，该方法能够有效地分割图像，同时对噪声具有很好的鲁棒性。
The results of experiments show that the proposed method can segment the image effectively and properly, as well as is robust to noise.
应用推荐