Results 301 to 310 of about 498,519 (319)

Hierarchical image segmentation using a watershed scale-space tree

7th International Conference on Image Processing and its Applications, 1999
The watershed transformation is a useful morphological segmentation tool which has been used in a variety of grey-scale image processing applications. However, a major problem with the watershed transformation is that it produces a severe over-segmentation due to the great number of minima embedded in the image or its gradient, and therefore it is ...
Mark Fisher, R.V. Aldridge
openaire   +2 more sources

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention
The Transformer architecture has shown a remarkable ability in modeling global relationships. However, it poses a significant computational challenge when processing high-dimensional medical images. This hinders its development and widespread adoption in
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu   +4 more
semanticscholar   +1 more source

Segmentation Neural Network Incorporating Scale-Space in the Application of Cardiac MRI

Journal of Medical Imaging and Health Informatics, 2020
In this work, we present an image segmentation algorithm based on the convolutional neural network framework where the scale space theory is incorporated in the course of training procedure. The construction of data augmentation is designed to apply the scale space to the training data in order to effectively deal with the variability of regions of ...
Hyo-Hun Kim, Byung-Woo Hong
openaire   +2 more sources

A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2003
In this paper, a novel white blood cell (WBC) segmentation scheme using scale-Space filtering and watershed clustering is proposed. In this scheme, nucleus and cytoplasm, the two components of WBC, are extracted respectively using different methods ...
Kan Jiang, Qing-Min Liao, Shengyang Dai
semanticscholar   +1 more source

Scale space filter based on homogeneity degree for color image segmentation

Conference on Colour in Graphics, Imaging, and Vision, 2006
International ...
Busin, Laurent, Vandenbroucke, Nicolas, Macaire, Ludovic, Postaire, J-G   +3 more
openaire   +3 more sources

Robust and accurate image segmentation using deformable templates in scale space

Proceedings of International Symposium on Computer Vision - ISCV, 2002
The paper presents a new image segmentation algorithm using deformable templates in scale space. The deformable templates are grey level patterns with clearly defined image features to represent ideal segmentation results of some generic percepts. To segment a specific target in an image, the algorithm deforms the corresponding generic template to ...
R.J. Qian, Thomas S. Huang
openaire   +2 more sources

Segmentation of Retinal Blood Vessels Using Scale-Space Features and K-Nearest Neighbour Classifier

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
In this paper, a new feature vector for each pixel, in conjunction with the K-nearest neighbour classifier, is proposed for the segmentation of retinal blood vessels in digital colour fundus images. The proposed feature vector consists of two scale-space
Nancy M. Salem, A. Nandi
semanticscholar   +1 more source

Color images segmentation using scale space filter and Markov random field

Other Conferences, 1992
This paper presents a new hybrid method that combines the scale space filter (SSF) and Markov random field (MRF) for color image segmentation. Using the scale space filter, we separate the different scaled histogram to intervals corresponding to peaks ...
T. Cheng, Changcun Huang
semanticscholar   +1 more source

SCALE-SPACE SEGMENT GROWING FOR HIERARCHICAL DETECTION OF BILIARY TREE STRUCTURE

International Journal of Wavelets, Multiresolution and Information Processing, 2005
Liver diseases are a common medical problem, especially amongst the population of developing countries. Magnetic Resonance Cholangio Pancreatography (MRCP) has become the popular non-invasive, non-ionizing examination for analysis of the hepatobiliary structure in the liver.
openaire   +3 more sources

Additive White Gaussian Noise Level Estimation for Natural Images Using Linear Scale-Space Features

Circuits, systems, and signal processing, 2020
Priyanka Kokil, T. Pratap
semanticscholar   +1 more source