... the application scope and results of different methods, which may play an important role in the application of underwater hyperspectral object detection in the future. Originality/value This paper introduced several methods of hyperspectral image process, give out the conclusion of the advantages...

...Ahmad Reza Danesh; Mehdi Habibi Purpose The purpose of this paper is to design a kernel convolution processor. High-speed image processing is a challenging task for real-time applications such as product quality control of manufacturing lines. Smart image sensors use an array of in-pixel...

... at: shenlongwang@usst.edu.cn 07 04 2019 04 06 2019 05 06 2019 Content-based image retrieval Feature extraction Image processing Future research perspectives Sparse representation © Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only...

...; through moving lens along the optical axis, certain points of the object will be focused, we can get its lens-to-image distance v and then bring it into equation (1) to get the lens-to-object distance u: 3D Sensor fusion Image processing Robot vision 3D imaging 3D...

... Science Foundation of China 20162852031 Jiangsu Postdoctoral Founding 1402036C Special scientific instrument development of Ministry of science and technology of China 2016YFF0103702 Machine vision Image processing Environmental sensors Navigation Robot vision The third row...

... and low-level image processing functions such as kernel convolution is used extensively in the early stages of most machine vision tasks. These low-level functions are usually computationally extensive and if the computation is performed inside every pixel, the burden on the external processor...

... Image processing Spectral analysis Hyperspectral imaging (HSI) is an emerging imaging modality that acquires two-dimensional images across a wide range of nearly continuous and narrow band electromagnetic spectrum with extremely rich spectral and spatial information (Goetz et al., 1985...

... of the dramatic development of an image processing technique. However, existing attempts are often subject to low accuracy and errors accumulation. Design/methodology/approach In this paper, a novel autonomous navigation model was developed, based on the rigid geometric and photogrammetric theory, including...

... Gouveia can be contacted at: luiz.gouveia@glasgow.ac.uk 18 11 2015 23 03 2016 28 03 2016 © Emerald Group Publishing Limited 2016 Emerald Group Publishing Limited Licensed re-use rights only Colour 3D imaging Image processing CMOS image sensor Image quality Spectral...

... scenes. Originality/value This paper presents a method that improves the image-based visual saliency model. 3D Image processing The human visual attention mechanism has been much studied in computer vision, physiology, psychology and biology (Borji and Itti, 2013). The ocular mechanism...

.... Image processing Infrared Low-visibility Depth of field Traffic safety Highway environment In the field of transportation, the influence of low-visibility conditions on safety has been paid much attention (Koetse and Rietveld, 2009). Low visibility influences the scope and range...

.... Originality/value – The paper presents an effective retrieval method for hyperspectral images. Weixun Zhou can be contacted at: weixunzhou1990@whu.edu.cn © Emerald Group Publishing Limited 2015 Image processing Spectral analysis With the increasing availability of the huge volume...

.... Design/methodology/approach – First, a double-sided double arc welding (DSAW) system with a self-designed passive vision sensor was established, then the image of the groove was captured and the characteristic parameters of groove were extracted by image processing. According to the welding parameters...

... will be useful to protect human lives and property from the fire disaster. The paper aims to discuss these issues. Design/methodology/approach – This article describes the automatic detection of fire flames in the grey-scale image sequences by a two-level image processing scheme: pixel-level and frame...

..., eccentricity, shape, max-min length of CSD's fitted and corrected ellipse, and population density in a per unit area. Prior to image processing stage, camera calibration was performed to remove the image distortion errors. Image processing techniques were applied to corrected images for detecting the CSD...

... be employed by automatic flight control or by terrain awareness and warning systems (TAWS). Richard Bloss can be contacted at: rbloss@umich.edu © Emerald Group Publishing Limited 2013 Sensors Vision Image processing Infrared Acoustic Laser Radar A second model is the MRA Type 2...

... by the equation followed: Equation 16 In our experiment, α=45°, β=30°. L is set to 260 mm. Image sensor Line structured‐light Raised characters Image processing Sensors Raised characters are widely used in many industrial products since they are more changeless...

... object detection framework. Originality/value The results presented in this paper are competitive with other state‐of‐the‐art object detection methods. Chen Guodong can be contacted at: guodongxyz@gmail.com © Emerald Group Publishing Limited 2013 Image processing Programming...

..., which cannot be adopted in the registration. So, only the couples whose λ is get close to 1 will be considered as candidate pairs. Image processing Sensors Lasers Intelligent sensors LiDAR is widely used to produce digital surface models (DSMs), digital elevation models (DEMs...

... a theoretical overview of ASM and GA. Section 3 introduces the proposed framework for tongue area detection. Section 4 then presents the experiments conducted to evaluate the performance of the proposed method. Finally, concluding remarks are offered in Section 5. Tongue area detection ASM GA Image...