Results 111 to 120 of about 5,152,243 (358)
, 2014 Document Image Analysis, like any Digital Image Analysis requires identification and extraction of proper features, which are generally extracted from uncompressed images, though in reality images are made available in compressed form for the reasons ...
Chaudhuri, B. B. +2 more
core +1 more source
, 2016 Objectives: This paper aims to develop a system for malaria infected erythrocyte classification based on the histogram feature set. Method: The method consist of pre-processing, segmentation, feature extraction based on the histogram of different color ...
Salam Shuleenda Devi +3 more
semanticscholar +1 more source
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics [PDF]
arXiv, 2017 In many Multimedia content analytics frameworks feature likelihood maps represented as histograms play a critical role in the overall algorithm. Integral histograms provide an efficient computational framework for extracting multi-scale histogram-based regional descriptors in constant time which are considered as the principle building blocks of many ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros +6 more
wiley +1 more source
Multi-Scale Spatially Weighted Local Histograms in O(1) [PDF]
arXiv, 2017 Weighting pixel contribution considering its location is a key feature in many fundamental image processing tasks including filtering, object modeling and distance matching. Several techniques have been proposed that incorporate Spatial information to increase the accuracy and boost the performance of detection, tracking and recognition systems at the ...
arxiv
Combining Local Feature Histograms of Different Granularities [PDF]
, 2009 Histograms of local features have proven to be powerful representations in image category detection. Histograms with different numbers of bins encode the visual information with different granularities. In this paper we experimentally compare techniques for combining different granularities in a way that the resulting descriptors can be used as feature
Ville Viitaniemi, Jorma Laaksonen
openaire +1 more source
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
International Journal of Technology, 2017 Facial detection is a crucial stage in the facial recognition process. Misclassification during the facial detection process will impact recognition results.
Arif Muntasa
doaj +1 more source
Learnable Histogram: Statistical Context Features for Deep Neural Networks [PDF]
arXiv, 2018 Statistical features, such as histogram, Bag-of-Words (BoW) and Fisher Vector, were commonly used with hand-crafted features in conventional classification methods, but attract less attention since the popularity of deep learning methods. In this paper, we propose a learnable histogram layer, which learns histogram features within deep neural networks ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki +9 more
wiley +1 more source