Existing systems for automated pavement defect detection can only identify cracking type defects. In this paper, we introduce a method which can detect not only cracks as small as 1mm in width, but also two other defect types: joint and bridged. Road images are captured by our acquisition sys...
Automatic Detection and Classification of Some Vineyard Diseases with Faster R-CNN Model 来自 Semantic Scholar 喜欢 0 阅读量: 10 作者:Z Altas,MM Zgüven,K Adem 摘要: Türkiye is one of the countries with the most important vineyard areas in the world, where the most grape production is made...
冠脉狭窄检测【3DRCNN】- A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Pla... breif:2018年的论文,作者来自 荷兰乌得勒支医疗中心(University Medical Center Utrecht, The Netherlands)。原文见此处 摘要 不同类型的动脉粥样硬化斑块和不同程度的狭窄可能导致对冠心病患者的不同处理...
Weak photometric subcomponents offer an important tool to understand the present structure and past evolution of early-type galaxies. The detection of such structures can be performed either by detailed modeling of the 2-d light distribution or by means
The otherapproach follows the standard scheme of object-based image classification:segmentation, feature extraction and selection, and classification, hereperformed using decision trees. In addition, the effect of including contextualrelations with shadows in the building detection process is evaluated. ...
Breast cancer is considered one of the significant health challenges and ranks among the most prevalent and dangerous cancer types affecting women globally. Early breast cancer detection and diagnosis are crucial for effective treatment and personalized
The target detection model of deep learning was utilized to monitor a pine nematode-infested wood. The detecting effect was good, but limited by low-resolution photos with poor accuracy and speed. Our work presents a staged detection and classification approach for a dead nematode-infested pine ...
Abstract: The anomaly detection present in the crowd scenes acts as an important role in the automatic video surveillance systems to alert the casualty in the field that suffers from the huge quantity of footfalls. In this paper, new anomaly detection and multi-label anomaly classification are ...
When constructing an automatic polyp detection and classification model based on deep learning, extensive samples of polyp image or video are needed, as well as the performance of high-quality manual annotation by experienced endoscopists. In this study, we build a colonoscopy image collection from...
Li et al.32 conducted a comprehensive review of methods for microorganism image analysis, encompassing preparation, feature extraction, classification, and evaluation. Rea et al.33 introduced a GPU-based software utilizing the simplex method for efficient yeast cell detection in time-lapse microscopy, ...