Results 251 to 260 of about 366,438 (285)
Some of the next articles are maybe not open access.
Segmentation of images of yeast cells by scale-space analysis
16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2004We present an hierarchical approach to segment images of yeast cells based on watershed and space-scale analysis. Yeasts belong to an important fungi class and the performance of bioreactors and other chemical processes are greatly influenced by their morphological character.
Garcia de Carvalho, Marco António +2 more
openaire +2 more sources
Gland segmentation from histology images using informative morphological scale space
2016 IEEE International Conference on Image Processing (ICIP), 2016Grading of cancer offers insight to the occurrence and progress of the disease. The course of treatment is planned depending on the grade of cancer. Segmentation of the glandular structure of tissue is a prerequisite for grading of colon, prostate and breast cancers.
Angshuman Paul, Dipti Prasad Mukherjee
openaire +1 more source
Scale Space Technique for Word Segmentation in Handwritten Documents
1999Indexing large archives of historical manuscripts, like the papers of George Washington, is required to allow rapid perusal by scholars and researchers who wish to consult the original manuscripts. Presently, such large archives are indexed manually.
R. Manmatha, Nitin Srimal
openaire +1 more source
Segmenting by Compression Using Linear Scale-Space and Watersheds
1999Automatic segmentation is performed using watersheds of the gradient magnitude and compression techniques. Linear Scale-Space is used to discover the neighbourhood structure and catchment basins are locally merged with Minimum Description Length. The algorithm can form a basis for a large range of automatic segmentation algorithms based on watersheds ...
Sporring, Jon, Olsen, Ole Fogh
openaire +1 more source
Texture segmentation using local energy in wavelet scale space
1996Wavelet transforms are attracting increasing interest in computer vision because they provide a mathematical tool for multiscale image analysis. In this paper, we show that i) the subsampled wavelet multiresolution representation is translationally variant; and ii) a wavelet transform of a signal generally confounds the phase component of the analysing
Zhi-Yan Xie, Michael Brady
openaire +1 more source
Color images' segmentation using scale space filter and markov random field
Pattern Recognition, 1992A new hybrid method is presented that combines the scale space filter (SSF) and Markov random field (MRF) for color image segmentation. The fundamental idea of the SSF is to use the convolution of Gaussian functions and image-histogram to generate a scale space image and then find the proper interval bounded by the local extrema of the derivatives. The
null Chung-Lin Huang +2 more
openaire +1 more source
Hierarchical image segmentation using a watershed scale-space tree
7th International Conference on Image Processing and its Applications, 1999The 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 ...
openaire +1 more source
SCALE-SPACE SEGMENT GROWING FOR HIERARCHICAL DETECTION OF BILIARY TREE STRUCTURE
International Journal of Wavelets, Multiresolution and Information Processing, 2005Liver 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 +2 more sources
Robust and accurate image segmentation using deformable templates in scale space
Proceedings of International Symposium on Computer Vision - ISCV, 2002The 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, T.S. Huang
openaire +1 more source
The biofilm matrix: multitasking in a shared space
Nature Reviews Microbiology, 2022Hans-Curt Flemming +2 more
exaly

