Results 1 to 10 of about 498,935 (316)
Image processing and recognition for biological images [PDF]
Development Growth and Differentiation, 2013 This paper reviews image processing and pattern recognition techniques, which will be useful to analyze bioimages. Although this paper does not provide their technical details, it will be possible to grasp their main tasks and typical tools to handle the tasks.
Seiichi Uchida
exaly +3 more sources
Exploring Misclassification Information for Fine-Grained Image Classification
Sensors, 2021 Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
doaj +1 more source
Feature Learning Improved by Location Guidance and Supervision for Object Detection
IEEE Access, 2021 In recent years, the single-stage detectors have been developed rapidly; however, compared with the multi-stage detectors, their detection precision is still relatively low.
Bingying Li +4 more
doaj +1 more source
Blur Invariants for Image Recognition
International Journal of Computer Vision, 2023 AbstractBlur is an image degradation that makes object recognition challenging. Restoration approaches solve this problem via image deblurring, deep learning methods rely on the augmentation of training sets. Invariants with respect to blur offer an alternative way of describing and recognising blurred images without any deblurring and data ...
Jan Flusser +4 more
openaire +4 more sources
2D electrophoresis image brightness correction based on gradient interval histogram
BMC Bioinformatics, 2020 Background Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images.
Qiaofeng Ou +4 more
doaj +1 more source
EURASIP Journal on Image and Video Processing, 2023 Image quality assessment (IQA) has become a hot issue in the area of image processing, which aims to evaluate image quality automatically by a metric being consistent with subjective evaluation.
Congmin Chen, Xuanqin Mou
doaj +1 more source
Face recognition in hyperspectral images [PDF]
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003 Hyperspectral cameras provide useful discriminants for human face recognition that cannot be obtained by other imaging methods. We examine the utility of using near-infrared hyperspectral images for the recognition of faces over a database of 200 subjects. The hyperspectral images were collected using a CCD camera equipped with a liquid crystal tunable
Zhihong Pan 0001 +3 more
openaire +3 more sources
Syncretic-NMS: A Merging Non-Maximum Suppression Algorithm for Instance Segmentation
IEEE Access, 2020 Instance segmentation is typically based on an object detection framework. Semantic segmentation is conducted on the bounding boxes that are returned by detectors.
Jun Chu +4 more
doaj +1 more source
Respiratory Sound Classification by Applying Deep Neural Network with a Blocking Variable
Applied Sciences, 2023 Respiratory diseases are leading causes of death worldwide, and failure to detect diseases at an early stage can threaten people’s lives. Previous research has pointed out that deep learning and machine learning are valid alternative strategies to detect
Runze Yang +5 more
doaj +1 more source
Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
doaj +1 more source