Results 21 to 30 of about 70,146 (191)
Weakly supervised salient object detection via double object proposals guidance
IET Image Processing, 2021 The weakly supervised methods for salient object detection are attractive, since they greatly release the burden of annotating time‐consuming pixel‐wise masks.
Zhiheng Zhou +4 more
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IET Image Processing, 2021 To help CVD (colour vision deficiency) observers distinguish among different colours in digital images, this study proposes a content‐dependent Daltonization algorithm based on lightness and chroma information.
Xuming Shen, Jianhua Feng, Xiandou Zhang
doaj +1 more source
Computer Vision and Image Processing: A Paper Review [PDF]
, 2018 Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics.
Victor Wiley +3 more
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An adaptive level set method based on joint estimation dealing with intensity inhomogeneity
IET Image Processing, 2021 Automatic object segmentation has been a challenging task due to intensity inhomogeneity. The traditional way is to eliminate the intensity inhomogeneity, which causes the object to lose useful intensity information. The authors propose an adaptive level
Jiang Zhu +4 more
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Angular‐flexible network for light field image super‐resolution
Electronics Letters, 2021 Light field (LF) cameras capture scenes from multiple views and provide additional angular information for image super‐resolution (SR). Existing CNN‐based LF image SR methods commonly develop specific models for different angular resolutions.
Zhengyu Liang +4 more
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Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
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Infrared imaging enhancement through local window‐based saliency extraction with spatial weight
IET Image Processing, 2021 Infrared image enhancement is an effective way to solve contrast reduction or details degradation in infrared imagery. An infrared enhancement approach based on local saliency extraction is proposed here. First, saliency maps are extracted within a local
Tong Li +4 more
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Electronics Letters, 2021 In the field of image processing, tangling noise and artefacts elimination of objects are two essential tasks. Tangling noise and lack of intensity in certain applications also occur at the same time.
Muhammad Ashfaq Khan +5 more
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Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques [PDF]
Sensors, 2020 One of the most important operations during the manufacturing process of a pressure vessel is welding. The result of this operation has a great impact on the vessel integrity; thus, welding inspection procedures must detect defects that could lead to an accident.
Yarens J. Cruz +4 more
openaire +5 more sources
The analysis of facial beauty: an emerging area of research in pattern analysis [PDF]
, 2010 Much research presented recently supports the idea that the human perception of attractiveness is data-driven and largely irrespective of the perceiver. This suggests using pattern analysis techniques for beauty analysis.
Andrea Bottino +3 more
core +1 more source