Optimization of Color-based Foreground / Background Segmentation for Outdoor Scenes

2012 ◽  
Author(s):  
Louis St-Laurent ◽  
Donald Prévost ◽  
Xavier Maldague
Keyword(s):  
Outdoor Scenes ◽  
Background Segmentation

Segmentation In Medical Resonance images to extract the cancerous nodule for early diagnosis on cancer

2012 ◽  
Vol 3 (2) ◽  
pp. 253-255
Author(s):  
Raman Brar
Keyword(s):  
Human Lung ◽  
Research Work ◽  
Vital Role ◽  
Watershed Algorithm ◽  
Segmentation Method ◽  
Resonance Imaging ◽  
Segmentation Methods ◽  
Segmentation Accuracy ◽  
Background Segmentation ◽  
Lung Mri

Image segmentation plays a vital role in several medical imaging programs by assisting the delineation of physiological structures along with other parts. The objective of this research work is to segmentize human lung MRI (Medical resonance Imaging) images for early detection of cancer.Watershed Transform Technique is implemented as the Segmentation method in this work. Some comparative experiments using both directly applied watershed algorithm and after marking foreground and computed background segmentation methods show the improved lung segmentation accuracy in some image cases.

Representation, Modeling, and Recognition of Outdoor Scenes

1999 ◽  
Author(s):  
Martin A. Fischler ◽  
Robert C. Bolles
Keyword(s):  
Outdoor Scenes

Probability-based Framework to Fuse Temporal Consistency and Semantic Information for Background Segmentation

2021 ◽  
pp. 1-1
Author(s):  
Zhi Zeng ◽  
Ting Wang ◽  
Fulei Ma ◽  
Liang Zhang ◽  
Peiyi Shen ◽  
...  
Keyword(s):  
Semantic Information ◽  
Temporal Consistency ◽  
Background Segmentation

scholarly journals Flexible time course of spatial frequency use during scene categorization

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sandro L. Wiesmann ◽  
Laurent Caplette ◽  
Verena Willenbockel ◽  
Frédéric Gosselin ◽  
Melissa L.-H. Võ
Keyword(s):  
Time Course ◽  
Task Characteristics ◽  
Scene Categorization ◽  
Fine Grained ◽  
Spatial Frequencies ◽  
Outdoor Scenes ◽  
Indoor Scenes ◽  
Fine Pattern ◽  
Late Stages ◽  
Basic Level

AbstractHuman observers can quickly and accurately categorize scenes. This remarkable ability is related to the usage of information at different spatial frequencies (SFs) following a coarse-to-fine pattern: Low SFs, conveying coarse layout information, are thought to be used earlier than high SFs, representing more fine-grained information. Alternatives to this pattern have rarely been considered. Here, we probed all possible SF usage strategies randomly with high resolution in both the SF and time dimensions at two categorization levels. We show that correct basic-level categorizations of indoor scenes are linked to the sampling of relatively high SFs, whereas correct outdoor scene categorizations are predicted by an early use of high SFs and a later use of low SFs (fine-to-coarse pattern of SF usage). Superordinate-level categorizations (indoor vs. outdoor scenes) rely on lower SFs early on, followed by a shift to higher SFs and a subsequent shift back to lower SFs in late stages. In summary, our results show no consistent pattern of SF usage across tasks and only partially replicate the diagnostic SFs found in previous studies. We therefore propose that SF sampling strategies of observers differ with varying stimulus and task characteristics, thus favouring the notion of flexible SF usage.

scholarly journals SLFS: Semi-supervised Light-field Foreground-background Segmentation

2021 ◽  
Author(s):  
Maryam Hamad ◽  
Caroline Conti ◽  
Ana Maria de Almeida ◽  
Paulo Nunes ◽  
Luis Ducla Soares
Keyword(s):  
Light Field ◽  
Background Segmentation

Citrus Yield Mapping System in Natural Outdoor Scenes using the Watershed Transform

2006 ◽  
Author(s):  
Citrus ◽  
Fruit size ◽  
Machine vision ◽  
Watershed transform ◽  
Yield mapping
Keyword(s):  
Yield Mapping ◽  
Watershed Transform ◽  
Mapping System ◽  
Outdoor Scenes

scholarly journals Spatio-temporal Smoke Clustering in Outdoor Scenes Based on Boosted Random Forests

2016 ◽  
Vol 96 ◽  
pp. 762-771 ◽  
Author(s):  
Margarita Favorskaya ◽  
Anna Pyataeva ◽  
Aleksei Popov
Keyword(s):  
Random Forests ◽  
Outdoor Scenes ◽  
Spatio Temporal
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