pythonpdfocrimage-processingtesseract UpdatedJan 28, 2025 Python Fast and flexible image augmentation library. Paper about the library:https://www.mdpi.com/2078-2489/11/2/125 pythonmachine-learningdeep-learningdetectionimage-processingimage-classificationsegmentationobject-detectionimage-segmentationimage-augmen...
Image processingMachine learningPlant leavesWith the advancement of digital image processing in agriculture and crop cultivation, imaging techniques are adopted to acquire real-time health status. Out of all the parts of plants, the leaf is the direct indicator of its health status, and hence ...
The first work in the field of Artificial intelligence in computer vision and image processing was done in MIT called "Summer Vision Project". The rise of artificial intelligence starts and it is used widely in every field of technology. As the technology advances machine learning is used in ...
Processing Critical problems using Machine Learning” has authentic work. The literature were mined from all the internet resources and while writing the book chapter author took the keen observation that proper credit is given to all the work via referencing and citation of research paper or book...
Fast and flexible image augmentation library. Paper about the library:https://www.mdpi.com/2078-2489/11/2/125 pythonmachine-learningdeep-learningdetectionimage-processingimage-classificationsegmentationobject-detectionimage-segmentationimage-augmentationaugmentationfast-augmentations ...
Image Processing Software Packages ImageJ is an open source, Java-basedimage processingprogram developed at the National Institute of Health. It provides various built-in image acquisition, analysis, and processing plugins as well as the ability to build your own using ImageJ’s built-in editor ...
In this paper a machine learning image processing method based on a convolutional neural network is presented. This automated method was compared with three standard manual FP counting procedures using tongue pictures from 132 subjects. Automated FP counts, within the selected areas and the whole ...
(2) in-processing methods [32,41,42], where the methods adopt additional losses for different fair metrics during the learning of the models; and (3) post-processing methods [43,44,45], where the methods tune the prediction results or adjust the decision boundaries to reduce unfair ...
deep-learningfatiguedigital-image-correlationexplainable-ai UpdatedJun 24, 2022 Python Spatiotemporally Adaptive Quadtree Mesh (STAQ) Digital Image Correlation for solving large deformations near complex geometries and discontinuities image-processingdigital-image-processingfracture-mechanicsdigital-image-correlation...
The full version of the paper is available in https://eprint.iacr.org/2023/1342. [1] David Balbás, Dario Fiore, Maria Isabel González Vasco, Damien Robissout and Claudio Soriente. Modular Sumcheck Proofs with Applications to Machine Learning and Image Processing. ACM CCS 2023, Copenhagen,...