A wide range of segmentation techniques continues to evolve in the literature on scene analysis. Many of these approaches have been constrained to limited ... riseman,edward m. arbib,michael a - 《Computer Graphics & Image Processing》 被引量: 219发表: 1977年 Segmentation and Features Extraction...
Nuyts, L. Mortelman, "Image segmentation: methods and applications in diagnostic radiology and nuclear medicine," European Journal of Radiology, vol. 17, pp. 14-21, 1993.P. Suetens, E. Bellon, D. Vandermeulen, M. Smet, G. Marchal, J. Nuyts, and L. Mortelmans. Image segmentation: ...
摘要: A method of quantitative analysis for the microstructure of materials by means of processing its digitized image is introduced.The method involves image sampling,image segmentation,feature extraction and measurement of feature parameters for the microstructure of metals and alloys....
This paper develops a computationally efficient process for segmentation of color images. The input image is partitioned into a set of output images in accordance to color characteristics of various image regions. The algorithm is based on random sampling of the input image and fuzzy clustering of...
还通过借鉴国外现今公共交通政策的实施方法,解决问题的途径等方法来完善我们的公共交通发展。 正在翻译,请等待...[translate] aImage segmentation is a challenging problem in computer vision, it has also widely applications, such as image synthesis, image compression[translate]...
Automated Image Segmentation Using Improved PCNN Model Based on Cross-entropy一种基于交叉熵的改进型PCNN图像自动分割新方法 脉冲耦合神经网络(PCNN)是20世纪90年代形成和发展的一种新型神经网络.为了自动地进行精确的图像分割,在基于图像处理的前提下,对现有的PCNN模型进行了改进,即从原始图... LIU Qing,MA Yide...
3.2.2 线性过滤的例子(Examples of linear filtering) 3.2.3 带通和可控滤波器(Band-pass and steerable filters) 3.3 更多邻近算子(More neighborhood operators) 3.3.1 非线性过滤(Non-linear filtering) 3.3.2 双边过滤(Bilateral filtering) 3.3.3 二值图像处理(Binary image processing) ...
This paper aims to address these gaps by using a resource-efficient unsupervised technique and also increasing the accuracy of retinal vessel segmentation using the Fourier decomposition method (FDM) along with the Gabor transform for image signals. The proposed method has an accuracy of 97.39%, ...
Image skin segmentation based on multi-agent learning Bayesian and neural network Image skin segmentation based on multi-agent learning Bayesian and neural network . Engineering Applications of Artificial Intelligence . 2014; 32 :136–50...
Image segmentation is considered a pertinent prerequisite for numerous tasks in digital image processing. The procedure through which identical segments in an image are identified is termed digital image segmentation and well-known clustering techniques are incorporated for the same. The Fuzzy C-Means al...