Results 261 to 270 of about 81,920 (279)

Bifurcation of Segment Edge Curves in Scale Space

2012
In this paper, we aim to develop a criterion to select scale parameters, which control pre-smoothing for edge detection. We first formalise the Canny edge detector which extracts the zeros of bilinear form of the first- and the second-order derivatives of image intensity.
Tomoya Sakai, Haruhiko Nishiguchi, Hayato Itoh, Atsushi Imiya   +3 more
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An Idempotent Scale-Space Approach for Morphological Segmentation

2005
This work constitutes a first approach on image segmentation based on the recently proposed morphological scale-space theory. We introduce an idempotent smoot hing operation, in the corresponding scale-space, and analyze some of its main features concerning the monotonicity of the image extrema and the way these extrema merge in a multiscale ...
Neucimar J. Leite, Marta D. Teixeira
openaire   +1 more source

Efficient scale space auto-context for image segmentation and labeling

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
The conditional random fields (CRF) model, using patch-based classification bound with context information, has been widely adopted for image segmentation/ labeling. In this paper, we propose three components for improving the speed and accuracy, and illustrate them on a developed auto-context algorithm: (1) a new coding scheme for multiclass ...
null Jiayan Jiang, null Zhuowen Tu
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Fuzzy homogeneity and scale-space approach to color image segmentation

Pattern Recognition, 2003
Image segmentation is the procedure in which the original image is partitioned into homogeneous regions, and has many applications. In this paper, a fuzzy homogeneity and scale-space approach to color image segmentation is proposed. A color image is transformed into fuzzy domain with maximum fuzzy entropy principle.
H.D. Cheng, J. Li
openaire   +1 more source

Segmentation of images of yeast cells by scale-space analysis

16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2004
We 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, de Alencar Lotufo, Roberto, Couprie, Michel   +2 more
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Gland segmentation from histology images using informative morphological scale space

2016 IEEE International Conference on Image Processing (ICIP), 2016
Grading 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

1999
Indexing 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

1999
Automatic 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

1996
Wavelet 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, 1992
A 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, null Tai-Yuen Cheng, null Chaur-Chin Chen   +2 more
openaire   +1 more source