Adapting Vision Transformer-Based Object Detection Model for Handwritten Text Line Segmentation Task by Osman Furkan KARAKUŞ, Ayla GULCU, Ali Can KARACA

“…Specifically, we adapt DEtection TRansformer (DETR) model to detect line segments in images of handwritten documents. In order to adapt DETR for the line segmentation task, we applied a pre-processing step that involves dividing each line into fixed-size image patches followed by adding positional encoding. …”
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AILDP: a research on ship number recognition technology for complex scenarios by Tianjiao Wei, Zhuhua Hu, Yaochi Zhao, Xiyu Fan

“…In order to save computational resources, only the low-quality images are first subjected to preliminary image enhancement processing, and then the Thin Plate Spline (TPS) is introduced in the recognition part based on the framework of PaddleOCRv4 and combined with the feature extraction and enhancement module to adjust the spatial features of the images to ensure that both types of ship number images can be accurately processed in the feature extraction and recognition process. …”
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A Discriminative Target Equation-Based Face Recognition Method for Teaching Attendance by Feng Xu, Haiwei Wang

“…Firstly, a combination of histogram equalization and wavelet denoising is chosen to preprocess the training sample images to obtain the face image light invariance description, and then, the initial dictionary is constructed using the dimensionality reduction performance of the PCA method; next, the initial dictionary is updated, and a new dictionary with representation and discrimination capabilities is obtained using the LC-KSVD algorithm that makes improvements in the dictionary update stage. …”
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Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice by LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin

“…Despite the longer processing time for a single image, segmentation accuracy was significantly improved. …”
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Unveiling the Optical Coherence Tomography Angiography Artifacts by Priyanka Gupta, Daraius Shroff, Charu Gupta

“…There are several algorithms available that have the potential to visualize flow, but all have image artifacts. …”
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Active Disturbance Rejection Attitude Control for Hypersonic Vehicle Based on Intelligent Stochastic Robust Optimization Method by Bo Wang, Wei Liu, Zhongtao Cheng, Lei Liu, Yongji Wang

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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…In addition, the Bat–Lion Algorithm (BLA) is introduced, which combines the Lion algorithm and the bat optimization algorithm and makes the optimization process more adaptive by using the bat algorithm to adjust the gradient direction during the updating process of the Lion algorithm. …”
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TSMAL: Target-Shadow Mask Assistance Learning Network for SAR Target Recognition by Shuai Guo, Ting Chen, Penghui Wang, Junkun Yan, Hongwei Liu

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A novel network with enhanced edge information for left atrium segmentation from LGE-MRI by Ze Zhang, Zhen Wang, Xiqian Wang, Kuanquan Wang, Yongfeng Yuan, Qince Li

“…IntroductionAutomatic segmentation of the left atrium (LA) constitutes a crucial pre-processing step in evaluating heart structure and function during clinical interventions, such as image-guided radiofrequency ablation of atrial fibrillation. …”
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Visual Classification of Music Style Transfer Based on PSO-BP Rating Prediction Model by Tianjiao Li

“…In this paper, based on computer reading and processing of music frequency, amplitude, timbre, image pixel, color filling, and so forth, a method of image style transfer guided by music feature data is implemented in real-time playback, using existing music files and image files, processing and trying to reconstruct the fluent relationship between the two in terms of auditory and visual, generating dynamic, musical sound visualization with real-time changes in the visualization. …”
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Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny by Yuyang Miao, Xihan Wang, Ning Zhang, Kai Wang, Lianhe Shao, Quanli Gao

“…To address the issues of missed and false detections caused by small object sizes, dense object distribution, and complex scenes in drone aerial images, this study proposes a drone-view object-detection algorithm based on YOLOv7-tiny with a Partial_C_Detect detection head. …”
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Prototyping Non-holonomic Hovercraft for Path Planning and Obstacle Avoidance by Ghulam -e-Mustafa Abro, Zain Anwar Ali, Bazgha Jabeen

“…Furthermore, in order to monitor the hovercraft that whether it is hovering in a familiar or strange environment; paper suggests the incorporation of digital image processing technique which will regularly correlate, the images being captured by the prototype. …”
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A Deep Learning Method for Automatic Coronal Mass Ejection Feature Identification by P. Yang, H. S. Fu, J. B. Cao, F. Shen

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sEMG-Based Gesture Recognition Using Sigimg-GADF-MTF and Multi-Stream Convolutional Neural Network by Ming Zhang, Leyi Qu, Weibiao Wu, Gujing Han, Wenqiang Zhu

“…To comprehensively leverage the temporal, static, and dynamic information features of multi-channel surface electromyography (sEMG) signals for gesture recognition, considering the sensitive temporal characteristics of sEMG signals to action amplitude and muscle recruitment patterns, an sEMG-based gesture recognition algorithm is innovatively proposed using Sigimg-GADF-MTF and multi-stream convolutional neural network (MSCNN) by introducing the Sigimg, GADF, and MTF data processing methods and combining them with a multi-stream fusion strategy. …”
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<i>Apis mellifera</i> Bee Verification with IoT and Graph Neural Network by Apolinar Velarde Martínez, Gilberto González Rodríguez, Juan Carlos Estrada Cabral

“…Two object-recognition techniques, namely the k-Nearest Neighbor Algorithm (kNN) and Graph Neural Network (GNN), were evaluated with an image dataset of 600 images from a single beehive. …”
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Revealing the assembly of filamentous proteins with scanning transmission electron microscopy. by Cristina Martinez-Torres, Federica Burla, Celine Alkemade, Gijsje H Koenderink

“…Scanning transmission electron microscopy (STEM) is a powerful tool to perform simultaneous mass and morphology measurements on filamentous proteins at high resolution, but its applicability has been greatly limited by the lack of automated image processing methods. Here, we demonstrate a semi-automated tracking algorithm that is capable of analyzing the molecular packing density of intra- and extracellular protein filaments over a broad mass range from STEM images. …”
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Optimization Method of Human Posture Recognition Based on Kinect V2 Sensor by Hang Li, Hao Li, Ying Qin, Yiming Liu

“…Next, the color image is processed using OpenPose to extract 2D skeletal point information, which is then mapped to the depth image to obtain 3D skeletal point information. …”
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Efficient Polarization Demosaicking Via Low-Cost Edge-Aware and Inter-Channel Correlation by Guangsen Liu, Peng Rao, Xin Chen, Yao Li, Haixin Jiang

“…This study introduces a novel polarization demosaicking algorithm that interpolates DoFP images within a three-stage basic demosaicking framework. …”
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Multi-scale structural similarity index for motion detection by M. Abdel-Salam Nasr, Mohammed F. AlRahmawy, A.S. Tolba

“…The MS-SSIM has resulted in much better performance than the single scale SSI approach but at the cost of relatively lower processing speed. The major advantages of the presented algorithm are both: the higher detection accuracy and the quasi real-time processing speed.…”
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Multi-Level Thresholding Based on Composite Local Contour Shannon Entropy Under Multiscale Multiplication Transform by Xianzhao Li, Yaobin Zou

“…Image segmentation is a crucial step in image processing and analysis, with multi-level thresholding being one of the important techniques for image segmentation. …”
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