Results 21 to 30 of about 483,409 (267)
Applied Sciences, 2023 In the era of Industry 4.0, the digital capture of products has become a critical aspect, which prompts the need for reliable inspection methods. In the current technological landscape, the Internet of Things (IoT) holds significant value, especially for industrial devices that require seamless communication with local and cloud computing servers. This
Yazid Saif +9 more
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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
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Coagulation time detection by means of a real-time image processing [PDF]
, 1992 Several techniques for semi-automatic or automatic detection of coagulation time in blood or in plasma analysis are available in the literature. However, these techniques are either complex and demand for specialized equipment, or allow the analysis of ...
Gasull Llampallas, Antoni +2 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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Adversarial Attacks on Deep Neural Networks for Time Series Classification [PDF]
, 2019 Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety.
Fawaz, Hassan Ismail +4 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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Intelligent visual media processing: when graphics meets vision [PDF]
, 2017 The computer graphics and computer vision communities have been working closely together in recent years, and a variety of algorithms and applications have been developed to analyze and manipulate the visual media around us.
Cheng, Ming-Ming +3 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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