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Mohammad Naser Lessani, Jiqiu Deng and Zhiyong Guo
Multiple geographical feature label placement (MGFLP) is an NP-hard problem that can negatively influence label position accuracy and the computational time of the algorithm. The complexity of such a problem is compounded as the number of features for la...
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Xialan He, Ting Wang and Wankou Yang
Due to the limitations of traditional retinal blood vessel segmentation algorithms in feature extraction, vessel breakage often occurs at the end. To address this issue, a retinal vessel segmentation algorithm based on a modified U-shaped network is prop...
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Jun Tie, Weibo Wu, Lu Zheng, Lifeng Wu and Ting Chen
When aiming at the problems such as missed detection or misdetection of recognizing green walnuts in the natural environment directly by using target detection algorithms, a method is proposed based on improved UNet3+ for green walnut image segmentation,...
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Hui Deng, Wenjiang Zhang, Xiaoqian Zheng and Houxi Zhang
The accurate and timely identification of crops holds paramount significance for effective crop management and yield estimation. Unmanned aerial vehicle (UAV), with their superior spatial and temporal resolution compared to satellite-based remote sensing...
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Karly S. Franz, Grace Reszetnik and Tom Chau
Brushstroke segmentation algorithms are critical in computer-based analysis of fine motor control via handwriting, drawing, or tracing tasks. Current segmentation approaches typically rely only on one type of feature, either spatial, temporal, kinematic,...
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Ruonan Gao, Fengxiang Jin, Min Ji and Yanan Zuo
Wheat stripe rust poses a serious threat to the quality and yield of wheat crops. Typically, the occurrence data of wheat stripe rust is characterized by small sample sizes, and the current research on severity identification lacks high-precision methods...
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Yane Li, Ying Wang, Dayu Xu, Jiaojiao Zhang and Jun Wen
The ?Kyoho? (Vitis labruscana) grape is one of the mainly fresh fruits; it is important to accurately segment the grape bunch and to detect its maturity level for the construction of an intelligent grape orchard. Grapes in the natural environment have di...
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Yifeng Ren, Qingyan Li and Zhe Liu
Plant diseases and pests may seriously affect the yield of crops and even threaten the survival of human beings. The characteristics of plant diseases and insect pests are mainly reflected in the occurrence of lesions on crop leaves. Machine vision disea...
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Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai and Haiying Zhang
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart...
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Zhengying Cai, Gengze Li, Jinming Zhang and Shasha Xiong
Image segmentation can be applied to image recognition and computer vision as the most important preprocess, and theartificial Physarum polycephalum colony algorithm proposed in this article can also be used to solveall kinds of complex problems in image...
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Fangbin Wang, Zini Wang, Zhong Chen, Darong Zhu, Xue Gong and Wanlin Cong
To overcome the deficiencies in segmenting hot spots from thermal infrared images, such as difficulty extracting the edge features, low accuracy, and a high missed detection rate, an improved Mask R-CNN photovoltaic hot spot thermal image segmentation al...
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Marco Mastrofini, Ivan Agostinelli and Fabio Curti
The present work focuses on the investigation of an artificial intelligence (AI) algorithm for brightest objects segmentation in night sky images? field of view (FOV). This task is mandatory for many applications that want to focus on the brightest objec...
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ghazi boumediene ghaouti, Boudjelal Meftah
Pág. 44 - 59
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Yu Sun and Yingying Yang
Aiming at solving the problems of large calculation, time-consuming, and low segmentation accuracy of multi-threshold image segmentation, an adaptive threshold value based differential evolution algorithm is proposed in this paper. Firstly, an opposite l...
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Manawaduge Supun De Silva, Barath Narayanan Narayanan and Russell C. Hardie
Lung segmentation plays an important role in computer-aided detection and diagnosis using chest radiographs (CRs). Currently, the U-Net and DeepLabv3+ convolutional neural network architectures are widely used to perform CR lung segmentation. To boost pe...
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Ayush Pratap, Neha Sardana, Sapdo Utomo, John Ayeelyan, P. Karthikeyan and Pao-Ann Hsiung
Deep learning and additive manufacturing have progressed together in the previous couple of decades. Despite being one of the most promising technologies, they have several flaws that a collaborative effort may address. However, digital manufacturing has...
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Shuofeng Li, Bing Li, Jin Li, Bin Liu and Xin Li
At present, rice is generally in a state of dense adhesion and small granular volume during processing, resulting in no effective semantic segmentation method for rice to extract complete rice. Aiming at the above problems, this paper designs a small obj...
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Junling Liang, Heng Li, Fei Xu, Jianpin Chen, Meixuan Zhou, Liping Yin, Zhenzhen Zhai and Xinyu Chai
Cereal grains are a vital part of the human diet. The appearance quality and size distribution of cereal grains play major roles as deciders or indicators of market acceptability, storage stability, and breeding. Computer vision is popular in completing ...
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Qiang Fang, Clemente Ibarra-Castanedo and Xavier Maldague
In quality evaluation (QE) of the industrial production field, infrared thermography (IRT) is one of the most crucial techniques used for evaluating composite materials due to the properties of low cost, fast inspection of large surfaces, and safety. The...
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Lin Dong, Yuanning Liu and Xiaodong Zhu
Current segmentation methods have limitations for multi-source heterogeneous iris segmentation since differences of acquisition devices and acquisition environment conditions lead to images of greatly varying quality from different iris datasets. Thus, d...
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