Adoption of the Co-Occurrence Matrix and Artificial Neural Networks in Fingerprint Recognition by Maysoon Al-Nuaimi

“…This paper presents a new method for fingerprint recognition depending on various sizes of fingerprint images. The proposed algorithm applied on more than 30 fingerprint samples, the results was good. …”
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Comparison of YOLOv5 for Classifying Mangrove Leaf Species using CNN-Based by Anindita Septiarini, Rita Diana, Rahmat Kamara, Novianti Puspitasari, Anton Prafanto

“…The three variants have various processing times and numbers of layers. This study uses mangrove leaf images with a total image dataset of 400 images consisting of 4 types of mangrove plants: Avicennia alba, Bruguiera gymnorhiza, Rhizopora apiculata, and Sonneratia alba. …”
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Location Research and Picking Experiment of an Apple-Picking Robot Based on Improved Mask R-CNN and Binocular Vision by Tianzhong Fang, Wei Chen, Lu Han

“…The binocular camera (ZED2i) carried by the robot acquires dual-channel apple images. An improved Mask R-CNN is employed to implement instance segmentation of apple targets in binocular images, followed by a template-matching algorithm with parallel epipolar constraints for stereo matching. …”
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Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model by Metin Akay, Yong Du, Cheryl L. Sershen, Minghua Wu, Ting Y. Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay

“…Early diagnosis of the disease is crucial for designing effective therapy and management plans. Machine learning algorithms, especially deep learning, have been found to be greatly useful in biology, medicine, healthcare, and biomedical applications, in the areas of medical image processing and speech recognition. …”
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Use of an anatomical atlas in real-time EIT reconstructions of ventilation and pulsatile perfusion in preterm infants by Christopher J. Rocheleau, Trevor D. Overton, Nilton Barbosa da Rosa, Gary J. Saulnier, Omid Rajabi Shishvan, Christopher D. Baker, Katelyn G. Enzer, Jennifer L. Mueller

“…The reconstructions demonstrate qualitatively improved resolution when compared to the NOSER algorithm currently used on the ACT 5 system for real-time bedside imaging, and the ability to image changes due to ventilation and pulsatile perfusion, as well as regional inhomogeneity. …”
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Large language models for causal hypothesis generation in science by Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls

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Automatic melanoma detection using an optimized five-stream convolutional neural network by Vida Esmaeili, Mahmood Mohassel Feghhi, Hadi Seyedarabi

“…For this reason, these convolutional neural networks (CNNs) cannot perceive the changed or rotated image samples as similar. To address these issues in this paper, we have done pre-processing such as hair removal, balancing the skin lesion images using a generative adversarial network (GAN)-based method, denoising using a CNN-based method, and image enhancement. …”
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Evaluation of the Effectiveness of the UNet Model with Different Backbones in the Semantic Segmentation of Tomato Leaves and Fruits by Juan Pablo Guerra Ibarra, Francisco Javier Cuevas de la Rosa, Julieta Raquel Hernandez Vidales

“…An alternative method for conducting this separation is to utilize intelligent digital image processing, wherein plant elements are labeled for subsequent analysis. …”
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Diabetic Retinopathy Detection Using DL-Based Feature Extraction and a Hybrid Attention-Based Stacking Ensemble by Sanjana Rajeshwar, Shreya Thaplyal, Anbarasi M., Siva Shanmugam G.

“…This paper addresses this challenge by utilizing advanced deep learning (DL) algorithms with established image processing techniques to enhance accuracy and efficiency in detection. …”
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Fuzzy Intelligence in Physical Immersion Teaching System Based on Digital Simulation Technology by Aihui Du

“…In addition, this study proposes a new algorithm based on the morphological features of geometric images, which combines the transformation detection method of cluster analysis to realize the intelligent processing of images. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…In this research, a proposed convolutional neural network (CNN) combined with image processing was developed to classify quince leaf diseases into four distinct classes. …”
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Land cover classification using Land Parcel Identification System (LPIS) data and open source Eo-Learn library by Fatih Fehmi Şimşek, Süleyman Savaş Durduran

“…In the classification process, the open source Eo-Learn library, which uses machine learning and deep learning algorithms in remote sensing studies and Sentinel-2 images that can be accessed directly in this library were used. …”
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Performance Evaluation of Data Compression Systems Applied to Satellite Imagery by Lilian N. Faria, Leila M. G. Fonseca, Max H. M. Costa

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Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure by Xiaoqing Wang, Zhantao Zhang, Yujie Jiang, Kuanhao Liu, Yafei Li, Xuri Yao, Zixu Huang, Wei Zheng, Jingqi Zhang, Fu Zheng

“…And, the algorithm is at the leading edge in terms of performance; the processing frame rate can reach 3051 FPS (frame per second), 96 FPS, and 54 FPS for image data with a resolution of 256 × 256, 1920 × 1080, and 2560 × 1440, respectively.…”
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Research on detection and tracking methods of unmanned ship water targets based on light vision by LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao

“…This research demonstrates that in the field of surface unmanned ships, target detection and tracking problems can be effectively solved by integrating advanced image processing technology and machine learning algorithms.…”
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An Automatic Machine Vision-Guided System for the Propagation of Potato Test-Tube Plantlets by Xu Shengyong, Peng Biye, Wu Haiyang, Li Fushuai, Cai Xingkui, Duan Hongbing

“…In this paper, the workflow of the visual system was designed and the image acquisition device was made. Furthermore, the image processing algorithm was then integrated with the image acquisition device in order to construct an automatic PTTP propagation vision system. …”
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Development and evaluation of a sensor enabled smart herbicide applicator for inter row crops by Pankaj Malkani, Indra Mani, Pramod Kumar Sahoo, Roaf Ahmad Parray, Sidhartha Sekhar Swain, Asha K．R．, Dharmender, Manojit Chowdhury, Sunil Kumar Rathod, Wahidah H․ Al-Qahtani, Ali Salem, Ahmed Elbeltagi, Abdallah Elshawadfy Elwakeel

“…The system processed images using an RGB-based algorithm (R > G + 5, & R > B + 5) to separate weeds from soil. …”
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MATHEMATICAL MODELS OF THE RADAR SIGNAL REFLECTED FROM A HELICOPTER MAIN ROTOR IN APPLICATION TO INVERSE SYNTHESIS OF ANTENNA APERTURE by Sergey R. Heister, Thai T. Nguyn

“…Methods and materials. ISAR processing is used to produce a radar image of a propeller in a radar with a monochromatic probing signal. …”
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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

“…To address these issues, an improved crop disease identification method based on convolutional neural network is proposed to process images of crops for identifying diseases. …”
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图像处理技术在齿轮缺陷检测中的应用 by 肖俊建, 王慧英

“…To deal with the defet of gear,the identification technology is studied.Applied with image forming、 edge detection、image transform、median filter、threshold segmentation、edge detection、 feature extraction、 pattern recognition,the method of threshold construction and the edge extraction algorithm are proposed.Lastly,the method of automatic identification technology of defects of gear is obtained.Advanced image processing technology is an effective method of controlling product quality and fault diagnosis.…”
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