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Underwater Terrain image stitching Based on Spatial Gradient Feature Block

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Computers, Materials & Continua 2022年第8期72卷 4157-4171页

作者： Zhenzhou Wang Jiashuo Li Xiang Wang Xuanhao Niu School of Information Science and Engineering Hebei University of Science and TechnologyShijiazhuang050018China Case Western Reserve University Cleveland44106USA

At present,underwater terrain images are all strip-shaped small fragment images preprocessed by the side-scan sonar imaging system.However,the processed underwater terrain images have inconspicuous and few feature points.In order to better realize the stitching of underwater terrain images and solve the problems of slow traditional image stitching speed,we proposed an improved algorithm for underwater terrain image stitching based on spatial gradient feature block.First,the spatial gradient fuzzy C-Means algorithm is used to divide the underwater terrain image into feature blocks with the fusion of spatial gradient information.The accelerated-KAZE(AKAZE)algorithm is used to combine the feature block information to match the reference image and the target image.Then,the random sample consensus(RANSAC)is applied to optimize the matching results.Finally,image fusion is performed with the global homography and the optimal seam-line method to improve the accuracy of image overlay fusion.The experimental results show that the proposed method in this paper effectively divides images into feature blocks by combining spatial information and gradient information,which not only solves the problem of stitching failure of underwater terrain images due to unobvious features,and further reduces the sensitivity to noise,but also effectively reduces the iterative calculation in the feature point matching process of the traditional method,and improves the stitching speed.Ghosting and shape warping are significantly eliminated by re-optimizing the overlap of the image.

关键词： Underwater terrain images image stitching feature block fuzzy C-means spatial gradient information A-KAZE

Combined application of extended depth of field imaging, image stitching and polarized microscopy techniques in identification of Spatholobus suberectus

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Chinese Herbal Medicines 2020年第4期12卷 367-374页

作者： Ying-xian Ma Chayanis Sutcharitchan Xiao-die Li Qian Meng Xin Wang Shen Ji Ya-jun Cui Shanghai University of Traditional Chinese Medicine Shanghai 201203China Chulalongkorn University Bangkok 10330Thailand Shanghai Institute for Food and Drug Control Shanghai 201203China

Objective:As traditional techniques for microscopic identification of Chinese medicines currently lack objective and high-quality reference images,here we developed a systemic procedure to be used in microscopic identification of Chinese medicines,which would lead to more objective,effective and accurate identification process.Methods:Spatholobi Caulis(Jixueteng in Chinese)was used as the specimen in the development of such procedure.Jixueteng samples were microscopically examined in bright-and dark-field microscopy.Microscopic images were obtained by regular,EDF,and image stitching techniques.Results:The microscopic images of the characteristics in pulverized Jixueteng were captured,thanks to EDF imaging and image stitching techniques which allowed the detailed and full sighting of each characteristic to be obtained simultaneously.Different layers in anatomical transverse section,including cork,phelloderm,cortex,phloem,cambium,xylem and pith,were distinctively observed.Moreover,by comparing images of bright-and dark-field microscopy,birefringent and non-birefringent components could readily be distinguished.Conclusion:With application of the developed procedure,high-definition,panoramic and microscopic images were acquired,which could be used as the reference images for microscopic identification of Chinese medicines.

关键词： extended depth of field imaging image stitching microscopic identification polarized light pharmacognosy spatholobus suberectus Dunn

A survey on image and video stitching

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Virtual Reality & Intelligent Hardware 2019年第1期1卷 55-83页

作者： Wei LYU Zhong ZHOU Lang CHEN Yi ZHOU State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

image/video stitching is a technology for solving the field of view(FOV)limitation of images/videos.It stitches multiple overlapping images/videos to generate a wide-FOV image/video,and has been used in various fields such as sports broadcasting,video surveillance,street view,and entertainment.This survey reviews image/video stitching algorithms,with a particular focus on those developed in recent years.image stitching first calculates the corresponding relationships between multiple overlapping images,deforms and aligns the matched images,and then blends the aligned images to generate a wide-FOV image.A seamless method is always adopted to eliminate such potential flaws as ghosting and blurring caused by parallax or objects moving across the overlapping regions.Video stitching is the further extension of image stitching.It usually stitches selected frames of original videos to generate a stitching template by performing image stitching algorithms,and the subsequent frames can then be stitched according to the template.Video stitching is more complicated with moving objects or violent camera movement,because these factors introduce jitter,shakiness,ghosting,and blurring.Foreground detection technique is usually combined into stitching to eliminate ghosting and blurring,while video stabilization algorithms are adopted to solve the jitter and shakiness.This paper further discusses panoramic stitching as a special-extension of image/video stitching.Panoramic stitching is currently the most widely used application in stitching.This survey reviews the latest image/video stitching methods,and introduces the fundamental principles/advantages/weaknesses of image/video stitching algorithms.image/video stitching faces long-term challenges such as wide baseline,large parallax,and low-texture problem in the overlapping region.New technologies may present new opportunities to address these issues,such as deep learning-based semantic correspondence,and 3D image stitching.Finally,this survey discusses the challenges of image/vi

关键词： image stitching Video stitching Panoramic stitching Registration Alignment Mesh optimization Deep learning 3D stitching

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

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Frontiers of Structural and Civil Engineering 2022年第11期16卷 1378-1396页

作者： Wenxuan CAO Junjie LI Faculty of Infrastructure Engineering Dalian University of TechnologyDalian 116024China College of Water Conservancy and Hydropower Engineering Hohai UniversityNanjing 210098China

It is of great significance to quickly detect underwater cracks as they can seriously threaten the safety of underwater structures.Research to date has mainly focused on the detection of above-water-level cracks and hasn’t considered the large scale cracks.In this paper,a large-scale underwater crack examination method is proposed based on image stitching and segmentation.In addition,a purpose of this paper is to design a new convolution method to segment underwater images.An improved As-Projective-As-Possible(APAP)algorithm was designed to extract and stitch keyframes from videos.The graph convolutional neural network(GCN)was used to segment the stitched image.The GCN’s m-IOU is 24.02%higher than Fully convolutional networks(FCN),proving that GCN has great potential of application in image segmentation and underwater image processing.The result shows that the improved APAP algorithm and GCN can adapt to complex underwater environments and perform well in different study areas.

关键词： underwater cracks remote operated vehicle image stitching image segmentation graph convolutional neural network

Corn ear test using SIFT-based panoramic photography and machine vision technology

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Artificial Intelligence in Agriculture 2020年第1期4卷 162-171页

作者： Xinyi Zhang Jiexin Liu Huaibo Song College of Mechanical and Electronic Engineering Northwest A&F UniversityYangling 712100ShaanxiChina Key Laboratory of Agricultural Internet of Things Ministry of Agriculture and Rural AffairsYangling 712100ShaanxiChina Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service YanglingShaanxi 712100China

Corn ear test is important to modern corn breeding.The test indexesmainly include lengths,radiuses,rows and numbers of corn ears and the kernels they bear,which can benefit the study on breeding new and fine corn varieties.These corn traits are often collected by traditional manual measurement,which is difficult to meet the needs of high throughput corn ear test.In this study,image sequences of corn ear samples were captured by building a panoramic photography collecting system.And then,to get the lengths and radiuses indexes,the corn area images were processed based on Lab color space and adaptive threshold segmentation.The sequence images were then matched and the panoramic image of a corn surface were extracted using Scale-invariant feature transform(SIFT).Finally,by using Exponential transformation(ETR)and Sobel-Hough algorithm,ears and rows indexes were acquired.Test results showed that the accuracy of the radiuses and lengths were 93.84%and 94.53%,respectively.Meanwhile,the accuracy of kernels and rows indexes were 98.12%and 96.14%,whichwere 4.03%and 7.25%higher than that of common mosaiced panoramic image.And the accuracy of kernel area and length-width ratio were 95.36%and 97.42%,respectively.All the results showed that the proposed method can be used for corn ear test effectively.

关键词： Corn ear Panoramic photography image segmentation image stitching image rectification

An UAV Navigation Aided with Computer Vision 26th

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An UAV Navigation Aided with Computer Vision

Top-View Surrounding Monitor System Using Modified-SIFT Based stitching Method with Obstacle Detection

第26届中国控制与决策会议

作者： ZHANG ChengHao CHEN JiaBin SONG ChunLei XU JianHua School of Automation Beijing Institute of Technology

ISBN: (纸本)9781479937097

Currently most of UAV navigation systems are composed of GPS/INS integrated navigation. To give a alternative navigation method when GPS doesn’t work on UAV, a machine vision-aided navigation method is proposed to navigate the UAV with INS. image stitching as the core technology is to build real-time ground panoramic image.Combined with GPS latitude and longitude information, certain data fusion method is used to build dynamic ground map. In case of failure of GPS positioning, scene matching techniques is used on the dynamic map to get real-time latitude and longitude information of UAV, to form a integrated navigation with pure inertial system. Also, UAVs can perform a variety of intelligent missions based on the method. In this paper, Visual C + + is applied to form complete visual / GPS / INS integrated navigation simulation system, the simulation experiments of proposed navigation method verify the feasibility of the program and high prospects.

关键词： Vision Navigation UAV image stitching Scene Matching

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Top-View Surrounding Monitor System Using Modified-SIFT Base...

Sub-pixel Registration and stitching Technology Based on Interpolation and Iterative Optimization Algorithm

The second International Conference of Electrical and Electronics Engineering(ICEEE 2011)

作者： Muzaffar Djalalov Telman D.Radjabov Department of Information and Communication Engineering Yeungnam University

It is widely known that Intelligent Transport Systems（ITS） help to driver safely maneuver on the road and most ITS technologies are made to collision avoidance. Especially, Parking assistant systems help easily park in parking lots. There have been done few research works for this topic since TopView system is new field. In this paper, framework for Bird-view surrounding monitor system using Modified-SIFT based stitching method is presented. This framework includes some basic steps（camera calibration, distortion removal and bird-view transformation algorithms）, image stitching method using modified image feature extraction/matching algorithm and obstacle detection method. For evaluation, series of simulations and experiments are conducted, where Modified-SIFT algorithm in some cases showed a bit better results.

关键词： Top-View system image stitching SIFT obstacle detection

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Sub-pixel Registration and Stitching Technology Based on Int...