Results 1 to 10 of about 44,118 (151)
Colour Morphological Scale-Spaces for Image Segmentation [PDF]
Procedings of the British Machine Vision Conference 2005, 2005 Morphological scale-spaces have become an important tool for analysing greyscale images. However, their extension to colour images has proven elusive until recently. In this paper an original evaluation of two recently proposed colour sieves is presented, both algorithmically and in terms of their computational and segmentation performance.
David Gimenez, A.N. Evans
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Image segmentation through the scale-space random walker [PDF]
, 2021 This thesis proposes an extension to the Random Walks assisted segmentation algorithm that allows it to operate on a scale-space. Scale-space is a multi-resolution signal analysis method that retains all of the structures in an image through progressive blurring with a Gaussian kernel.
Richard Rzeszutek
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A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses.
A. Hadavand +2 more
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Object-Based Change Detection in Urban Areas: The Effects of Segmentation Strategy, Scale, and Feature Space on Unsupervised Methods [PDF]
Remote Sensing, 2016 Object-based change detection (OBCD) has recently been receiving increasing attention as a result of rapid improvements in the resolution of remote sensing data.
Lei Ma +7 more
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Scale Space Operators on Hierarchies of Segmentations [PDF]
, 2013 A hierarchy of segmentations(partitions) is a multiscale set representation of the image. This paper introduces a new set of scale space operators or transformations on the space of hierarchies of partitions. An ordering of hierarchies is proposed which is endowed by an ω-ordering based on a global energy over the classes of the hierarchy.
Bangalore Ravi Kiran, Jean Serra
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Multiresolution segmentation of natural images: from linear to nonlinear scale-space representations [PDF]
IEEE Transactions on Image Processing, 2004 In this paper, we introduce a framework that merges classical ideas borrowed from scale-space and multiresolution segmentation with nonlinear partial differential equations. A non-linear scale-space stack is constructed by means of an appropriate diffusion equation.
Ana Petrović +2 more
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Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI [PDF]
, 2020 Brain pathologies can vary greatly in size and shape, ranging from few pixels (i.e. MS lesions) to large, space-occupying tumors. Recently proposed Autoencoder-based methods for unsupervised anomaly segmentation in brain MRI have shown promising performance, but face difficulties in modeling distributions with high fidelity, which is crucial for ...
Christoph Baur +3 more
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Scale-space for empty catheter segmentation in PCI fluoroscopic images [PDF]
International Journal of Computer Assisted Radiology and Surgery, 2017 In this article, we present a method for empty guiding catheter segmentation in fluoroscopic X-ray images. The guiding catheter, being a commonly visible landmark, its segmentation is an important and a difficult brick for Percutaneous Coronary Intervention (PCI) procedure modeling.In number of clinical situations, the catheter is empty and appears as ...
Ketan Bacchuwar +3 more
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Multi-scale space smoothing and segmentation of range data for robot navigation [PDF]
, 2010 One of the most essential problems for mobile robot navigation is to enable an autonomous robot to navigate in an unknown environment and to incrementally build a map of this environment while simultaneously using this map to compute its current location. This problem is usually referred to as Simultaneous Localization and Mapping (SLAM).
Fan Tang
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SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation
International Journal of Applied Earth Observations and GeoinformationSemantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some
Wenxiao Zhan, Jing Chen
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