Results 281 to 290 of about 498,519 (319)
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, Jiyao Li
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International Conference on Computer Analysis of Images and Patterns, 1995
A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
R. Henkel
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A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
R. Henkel
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Image segmentation by analysis of scale-space [PDF]
Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing, 2003 We present a technique in image segmentation based on a hierarchical analysis of scale-space. The image hierarchy is a tree of critical lakes and provides a set of nested partitions. We analyze the scale-space from fine to coarse levels according to specific attributes.
Garcia De Carvalho, Marco António +2 more
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2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring), 2019
The study aimed to investigate the use of Magnetic Anomaly Detection (MAD) to locate defects in underground ferromagnetic pipelines without exposing them, which presented a large advantage over current methods.
Haiyang Ju +4 more
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The study aimed to investigate the use of Magnetic Anomaly Detection (MAD) to locate defects in underground ferromagnetic pipelines without exposing them, which presented a large advantage over current methods.
Haiyang Ju +4 more
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Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation
IEEE transactions on circuits and systems for video technology (Print), 2021Learning and extracting high-level features from point cloud is the key to improving the segmentation performances on point clouds for many networks. At present, many networks present very deep structures to extract high-level features for 3D perception.
Dawei Li +4 more
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The VMD-scale space based hoyergram and its application in rolling bearing fault diagnosis
Measurement science and technology, 2020The fast kurtogram is one of the most commonly applied methods for detecting rolling element bearing faults, and has been proven to be to be effective in most cases. However, the shortcomings of the kurtosis index limit the robustness and universality of
Wenjie Shi +4 more
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The Segmentation of Images via Scale-Space Trees
Procedings of the British Machine Vision Conference 1998, 1998A useful representation of an image would be an object tree in which nodes represent objects, or parts of objects, and which includes at least one node that, together with its children, represents each object: a grandmothernode. It is shown that scale-trees, obtained from greyscale images, approximate such a tree.
J. Andrew Bangham +3 more
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Motion-driven object segmentation in scale-space
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999In this paper we present a method for motion segmentation, in which accurate grouping of pixels undergoing the same motion is targeted. In the presented technique true object edges are first obtained by combining anisotropic diffusion of the original image with edge detection and contour reconstruction in the inherent scale-space.
Mohammed Ghanbari, Ebroul Izquierdo
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Gland segmentation from histology images using informative morphological scale space
International Conference on Information Photonics, 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 ...
Angshuman Paul, D. Mukherjee
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A Large-Scale Dataset for Water Segmentation of SAR Satellite
IEEE/RJS International Conference on Intelligent RObots and Systems, 2021Not only on earth, but also in space, robot systems are increasingly becoming essential elements in our lives such as a mobile exploration robot on Mars.
Myeung Un Kim +4 more
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