Results 41 to 50 of about 5,152,243 (358)
Computer vision technique to classify dates based on hardness
Journal of Agricultural and Marine Sciences, 2018 Hardness is one of the important attributes in determining the quality of dried fruits. Hardness assessment is normally carried out by manual inspection. This method is time consuming, laborious, expensive and subjective.
Annamalai Manickavasagan +4 more
doaj +1 more source
Tree-Wise Discriminative Subtree Selection for Texture Image Labeling
IEEE Access, 2017 In this paper, we propose a method for texture image labeling that works with a small number of training images. Our method is based on a tree of shapes and histogram features computed on the tree structure.
Tsubasa Hirakawa +6 more
doaj +1 more source
, 2020 Motivated by the high speed but insufficient precision of the existing fast point feature histogram algorithm, a new fast point feature histogram registration algorithm based on density optimization is proposed. In this method, a 44-section blank feature
Lushen Wu, Guo-lin Wang, Yun Hu
semanticscholar +1 more source
Nearest Neighbor For Histogram-based Feature Extraction
Procedia Computer Science, 2011 AbstractManual grading process of Fresh Fruit Bunch (FFB) leads to misconduct and human error while inspecting the right category of fruits for the purpose of oil palm production at the mill. It is extremely important to identify the degree of ripeness of FFB are at 95% level of confidence as mentioned by Malaysian Palm Oil Board (MPOB).
Mohamad, Fatma Susilawati +2 more
openaire +3 more sources
Predicting NOx sensor failure in heavy duty trucks using histogram-based random forests
International Journal of Prognostics and Health Management, 2017 Being able to accurately predict the impending failures of truck components is often associated with significant amount of cost savings, customer satisfaction and flexibility in maintenance service plans.
Ram B. Gurung +2 more
doaj +1 more source
Scientific Reports, 2021 T2-weighted (T2W) MRI provides high spatial resolution and tissue-specific contrast, but it is predominantly used for qualitative evaluation of prostate anatomy and anomalies.
Gabriel A. Nketiah +6 more
doaj +1 more source
Histogram of gradients of Time-Frequency Representations for Audio scene detection [PDF]
, 2014 This paper addresses the problem of audio scenes classification and contributes to the state of the art by proposing a novel feature. We build this feature by considering histogram of gradients (HOG) of time-frequency representation of an audio scene ...
Gasso, Gilles, Rakotomamonjy, Alain
core +3 more sources
Using histogram analysis of the intrinsic brain activity mapping to identify essential tremor
Frontiers in Neurology, 2023 BackgroundEssential tremor (ET) is one of the most common movement disorders. Histogram analysis based on brain intrinsic activity imaging is a promising way to identify ET patients from healthy controls (HCs) and further explore the spontaneous brain ...
Pan Xiao +16 more
doaj +1 more source
Biometrika, 2020, 2016 The histogram is widely used as a simple, exploratory display of data, but it is usually not clear how to choose the number and size of bins. We construct a confidence set of distribution functions that optimally address the two main tasks of the histogram: estimating probabilities and detecting features such as increases and modes in the distribution.
arxiv +1 more source
Frontiers in Oncology, 2019 Purpose: To retrospectively identify the relationships between both CT morphological features and histogram parameters with pulmonary metastasis in patients with colorectal cancer (CRC) and compare the efficacy of single-slice and whole-lesion histogram ...
TingDan Hu +13 more
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