Results 311 to 320 of about 5,152,243 (358)

Feature histogram equalization for feature contrast enhancement

Journal of Visual Communication and Image Representation, 2015
Discover an inherited characteristic of feature descriptors named feature contrast.Relate feature contrast to the discrimination among the detected feature points.One feature histogram is formed along one dimension of all feature descriptors.Derive an optimal feature histogram equalization algorithm.Apply the above-developed works to feature-point ...
Chen Wang, Kai-Kuang Ma
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Histogram equalization and image feature matching

2013 6th International Congress on Image and Signal Processing (CISP), 2013
The algorithms of image feature matching have good stability with scale, illumination change and rotation. They can be improved continuously in practical application. In the acquisition process of the image, the different conditions make the appearance of the same area seem different in different images.
Liangping Tu, Changqing Dong
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Directional geometric histogram feature extraction and applications [PDF]

Multimedia Tools and Applications, 2017
Image feature has been a hot research topic within the field of computer vision, with a wide scope of direct impacts on detection, recognition, image retrieval and pose estimation, etc. In this paper, we propose a novel image feature: Directional Geometric Histogram (DGH) which adopts directional geometric approximation from the geometric Bandelet ...
Hong Han, Jingxiang Gou
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Morphological feature extraction with local histogram equalization

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
In this work, success of image feature extraction based on morphological is examined by various histogram equalization techniques. In comparison process, traditional histogram equalization, adaptive histogram equalization and local histogram equalization methods are used.
GÜLTEN, ARİF, Issever, Didem, Catalbas, Mehmet Cem   +2 more
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Fabric defect detection based on saliency histogram features

International Conference on Climate Informatics, 2019
In order to increase the automatic quality control level in the textile industry, depending on the big data collected by the Internet of things of the textile factories, this paper proposes a novel visual saliency–based defect detection algorithm, which ...
Min Li, Shaohua Wan, Zhongmin Deng, Yajun Wang   +3 more
semanticscholar   +1 more source

Histogram-Based Image Color Features

2020
A color histogram (CH) in photography and image processing is a depiction of color variation within an image. A color histogram for digital images portrays the pixel number of that have colors in every one of defined color range list, and that include the color model of the image and the collection of all probable colors [1, 2].
Jyotismita Chaki, Nilanjan Dey
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Pedestrian Tracking with HOG and Color Histogram Features [PDF]

Applied Mechanics and Materials, 2012
To improve the effectiveness of pedestrian tracking, the histograms of oriented gradients (HOG) and color histogram characteristics are adopted to track pedestrian based on particle filter. Firstly, the pedestrian is detected using the HOG features to determine the initial target position.
Guang Xi Zhang, Pingshu Ge, Lie Guo, Lin Hui Li   +3 more
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Selection of a meta classifier-data model for classifying wind turbine blade fault conditions using histogram features and vibration signals: a data-mining study

Progress in Industrial Ecology, An International Journal, 2019
The modern developments in wind turbine fault diagnosis and condition monitoring are urged in recent times. This paper aims to identify different types of faults which occur on wind turbine blade as they are prone to vibration stress due to environmental
Joshuva Arockia Dhanraj, V. Sugumaran
semanticscholar   +1 more source

Deep Convolutional Feature Histograms for Visual Object Tracking

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Visual Object Tracking remains an open and challenging task in the Computer Vision field, requiring tracking algorithms to achieve a feeble balance between precision and speed performance. In this work, inspired by the classic Mean Shift algorithm for object tracking using histograms, as well as the recent advances of deep Convolutional Neural Networks
Nousi, Paraskevi, Tefas, Anastasios, Pitas, Ioannis   +2 more
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Evolutionary Spatial Histogram Features for Vehicle Detection [PDF]

Journal of Information and Computational Science, 2014
The evolutionary methods for detection aims to improve the accuracy and efiective of detection task. In this paper, an evolutionary object detection approach is proposed. The proposed algorithm employs the 5-fold validation as fltness criterion to direct the selection of templates, which is vital for creating spatial histogram features. In evolutionary
Shiru Qu, Lei Cai
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