Results 11 to 20 of about 3,488 (207)
Texture-Aware Superpixel Segmentation [PDF]
2019 IEEE International Conference on Image Processing (ICIP), 2019 Most superpixel algorithms compute a trade-off between spatial and color features at the pixel level. Hence, they may need fine parameter tuning to balance the two measures, and highly fail to group pixels with similar local texture properties. In this paper, we address these issues with a new Texture-Aware SuperPixel (TASP) method.
Giraud, Rémi +3 more
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Robust Semantic Segmentation with Superpixel-Mix [PDF]
Proceedings of the British Machine Vision Conference 2021, 2021 Accepted to ...
Gianni Franchi +6 more
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COMPARATIVE ANALYSIS OF SUPERPIXEL SEGMENTATION METHODS
International Journal of Engineering Technologies and Management Research, 2020 Superpixel segmentation showed to be a useful preprocessing step in many computer vision applications. Superpixel’s purpose is to reduce the redundancy in the image and increase efficiency from the point of view of the next processing task. This led to a variety of algorithms to compute superpixel segmentations, each with individual strengths and ...
SumitKaur, Dr. R.K Bansal
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingMost of the existing superpixel segmentation-based synthetic aperture radar (SAR) target detection algorithms cannot keep the independence of small targets under complex background, especially when the size of the targets varies greatly.
Shichao Chen +5 more
doaj +2 more sources
Medial Features for Superpixel Segmentation. [PDF]
, 2009 Image segmentation plays an important role in computer vision and human scene perception. Image oversegmentation is a common technique to overcome the problem of managing the high number of pixels and the reasoning among them. Specifically, a local and coherent cluster that contains a statistically homogeneous region is denoted as a superpixel. In this
Engel, D. +5 more
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Corrosion defect segmentation method based on superpixel feature cascade
Ain Shams Engineering JournalTo solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper.
Lingyu Sun +3 more
doaj +2 more sources
TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications
Applied SciencesSuperpixel segmentation aims to produce a consistent grouping of pixels. In recent years, the importance of superpixel segmentation has increased in computer vision since it offers useful primitives for extracting image features and simplifies the ...
Abiel Aguilar-González +5 more
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Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification
Remote SensingSuperpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency.
Boce Chu +7 more
doaj +2 more sources
USNet: underwater image superpixel segmentation via multi-scale water-net [PDF]
Frontiers in Marine ScienceUnderwater images commonly suffer from a variety of quality degradations, such as color casts, low contrast, blurring details, and limited visibility.
Chuhong Wang +6 more
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Trainable superpixel segmentation [PDF]
, 2018 Trainable Superpixel Segmentation is a plug-in developed for the ImageJ platform that aims at providing its users with the ability to train models to segment images by classifying superpixels using region-based image features. This project provides an underlying library that can be used independently, a graphic interface for ease of use and an ...
Salinas Colina, Josu
core +4 more sources