Reconstruction of segmentation and 3D volume in medical imaging is a method that enables diagnostic optimization, and can also facilitate the specialist in qualitative and quantitative research. In diverse uses such as modeling, quantitative analysis and image-guided surgery, it's an essential step. ...
applicationofimagesegmentationalgorithmbasedongloballysupportedand 系统标签: 基函数径向正定全局图像分割 2014,50(6)1引言图像分割是数字图像处理和图形分析中最基础的关键步骤,其任务是从图像中分割出目标并得到相应的边界曲线。水平集方法是一种重要的图像分割算法,它把边界曲线当成零水平集嵌入到高一维水平集函数中,...
each pre-labeled pixels.A probability graph toward each unlabeled pixel was obtained,which represented all probabilities that each unlabeled pixel randomly reached each of pre-labeled pixels.The greatest probability was taken as its objective,therefore,a high-quality image segmentation could be obtained....
Deformable template models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with localized appearance variations and rely on an assumption of Gaussian g... D Bruijne - Medical Image Computing & Computer-assisted Interve...
the segmentation process. This is a major advantage in contrast to other approaches (like supervised methods) which either need a large training set or significant amount of expert or apriori knowledge. RL方法的优点在于可以用较少的样本来进行训练,并且能得到额外的知识,而监督学习通常需要较大的训练...
Presents a study that described a system that uses the Blobworld image representation to retrieve images from a certain collection of images. Background on problems associated with image segmentation and image retrieval; Details on the use of the Expectation Maximization algorithm to estimate the param...
fingerprint segmentation based on convolutional neural networks,binary region labeling technique,and morphological image processing.This approach was tested on public fingerprint dataset provided by Fingerprint Verification Competition(FVC:2002,2004).The experimental results showed a high quality of segmentation....
We present a new image representation that provides a transformation from the raw pixel data to a small set of image regions that are coherent in color and texture. This "Blobworld" representation is created by clustering pixels in a joint color-texture-position feature space. The segmentation ...
Image segmentation is one of the methods of image classification.In this paper,Selangor Malaysia and Kuala Lumpur,the capital of Malaysia,were taken as an example and the Mean-shift algorithm,which is one of the methods of image segmentation,was employed to do Landsat/TM image classification.Then...
Region-based representations of image and video: segmentation tools for multimedia services This paper discusses region-based representations of image and video that are useful for multimedia services such as those supported by the MPEG-4 and MPEG... P Salembier,F Marques - 《Circuits & Systems fo...