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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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CSNet: Cascade stereo matching network using multi‐information cost volume
IET Intelligent Transport Systems, 2021 The disparity map produced by matching a pair of rectified stereo images provides estimated depth information and accurate distance calculations for autonomous driving.
XiaoTao Shao +4 more
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Image Processing Techniques and Neuro-computing Algorithms in Computer Vision
Advances in Networks, 2021 Computer vision is a multidisciplinary field that cannot be separated with image processing techniques and Neuro-Computing specifically Deep Learning (DL) algorithms, in recent time DL techniques enable computer vision to understand the content of an image, moreover, it is working hand in hand with image processing techniques because image ...
Ibrahim Goni +2 more
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Image stitching method by multi‐feature constrained alignment and colour adjustment
IET Image Processing, 2021 Image alignment and colour consistency are two challenging tasks for image stitching. Traditional point correspondence methods are difficult to achieve good alignments due to their insufficiency and unreliability.
Xingsheng Yuan +4 more
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MPI: Multi‐receptive and parallel integration for salient object detection
IET Image Processing, 2021 The semantic representation of deep features is essential for image context understanding, and effective fusion of features with different semantic representations can significantly improve the model's performance on salient object detection.
Han Sun +4 more
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Sparse representation for face recognition: A review paper
IET Image Processing, 2021 With the increasing use of surveillance cameras, face recognition is being studied by many researchers for security purposes. Although high accuracy has been achieved for frontal faces, the existing methods have shown poor performance for occluded and ...
Jitendra Madarkar +2 more
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IET Image Processing, 2021 Automatic facial expression recognition, which has many applications such as drivers, patients, and criminals' emotions recognition, is a challenging task.
Maede Sharifnejad +3 more
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IET Image Processing, 2021 In stereoscopic image quality assessment, human visual system has been universally taken into account to detect perceptual characteristics. A novel full‐reference stereoscopic image assessment metric by considering both monocular and binocular visual ...
Jianwei Si +4 more
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Techniques of deep learning and image processing in plant leaf disease detection: a review
International Journal of Electrical and Computer Engineering (IJECE), 2023 Computer vision techniques are an emerging trend today. Digital image processing is gaining popularity because of the significant upsurge in the usage of digital images over the internet.
Anita S. Kini +2 more
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Multi‐view facial action unit detection via deep feature enhancement
Electronics Letters, 2021 Multi‐view facial action unit (AU) analysis has been a challenging research topic due to multiple disturbing variables, including subject identity biases, variational facial action unit intensities, facial occlusions and non‐frontal head‐poses.
Chuangao Tang +4 more
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