AIMC Topic: Color

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Colour segmentation of printed fabrics by integrating adaptive neural network and density peak clustering algorithm.

PloS one Aug 11, 2025
With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. However, the existing methods often face the problems of low segmentation accuracy...
Neural Networks, Computer Color Textiles Clustering Algorithms Algorithms Image Processing, Computer-Assisted Cluster Analysis
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Color Dynamics, Pigments and Antioxidant Capacity in Pouteria sapota Puree During Frozen Storage: A Correlation Study Using CIELAB Color Space and Machine Learning Models.

Plant foods for human nutrition (Dordrecht, Netherlands) Jul 15, 2025
The accurate prediction of bioactive compounds and antioxidant activity in food matrices is critical for optimizing nutritional quality and industrial applications. This study compares the performance of multiple linear regression (MLR) and artificia...
Food Storage Pigments, Biological Freezing Carotenoids Antioxidants Anthocyanins Neural Networks, Computer Color Fruit Machine Learning Linear Models
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Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network.

Scientific reports Jul 1, 2025
Cattle health monitoring and management systems are essential for farmers and veterinarians, as traditional manual health checks can be time-consuming and labor-intensive. A critical aspect of such systems is accurate cattle identification, which ena...
Algorithms Animals Cattle Animal Identification Systems Image Processing, Computer-Assisted Color
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Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.

Science advances Jun 4, 2025
Despite advances in machine learning and computer vision for biomedical imaging, machine reading and learning of colors remain underexplored. Color consistency in computer vision, color constancy in human perception, and color accuracy in biomedical ...
Biological Assay Hemoglobins Neural Networks, Computer Machine Learning Algorithms Humans Image Processing, Computer-Assisted Colorimetry Color
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Digital image processing combined with machine learning: A novel approach for bee pollen classification.

Food research international (Ottawa, Ont.) Apr 22, 2025
The classification of bee pollen is crucial for ensuring product authenticity, quality control, and fraud prevention, particularly given the high commercial value of stingless bee pot-pollen. Although traditional pollen analysis methods are available...
Image Processing, Computer-Assisted Discriminant Analysis Color Bees Pollen Machine Learning Algorithms Animals
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Smartphone-Based SPAD Value Estimation for Jujube Leaves Using Machine Learning: A Study on RGB Feature Extraction and Hybrid Modeling.

Sensors (Basel, Switzerland) Apr 17, 2025
Chlorophyll content in date leaves is critical for fruit quality and yield. Traditional detection methods are usually complex and expensive. This study proposes a rapid detection method for chlorophyll content using smartphone images and machine lear...
Deep Learning Chlorophyll Plant Leaves Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Ziziphus Smartphone Principal Component Analysis Color
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Computer Vision in Monitoring Fruit Browning: Neural Networks vs. Stochastic Modelling.

Sensors (Basel, Switzerland) Apr 15, 2025
As human labour is limited and therefore expensive, computer vision has emerged as a solution with encouraging results for monitoring and sorting tasks in the agrifood sector, where conventional methods for inspecting fruit browning that are generall...
Pyrus Humans Color Fruit Stochastic Processes Neural Networks, Computer Bayes Theorem
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Delayed flowering phenology of red-flowering plants in response to hummingbird migration.

Current biology : CB Apr 14, 2025
The radiation of angiosperms is marked by a phenomenal diversity of floral size, shape, color, scent, and reward. The multi-dimensional response to selection to optimize pollination has generated correlated suites of these floral traits across distan...
Pollination Magnoliopsida Color Animal Migration Animals Seasons Flowers Pigmentation Birds North America
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Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging.

IEEE journal of biomedical and health informatics Apr 4, 2025
Vignetting constitutes a prevalent optical degradation that significantly compromises the quality of biomedical microscopic imaging. However, a robust and efficient vignetting correction methodology in multi-channel microscopic images remains absent ...
Humans Algorithms Animals Deep Learning Image Processing, Computer-Assisted Supervised Machine Learning Color Microscopy
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Predicting Final Restoration Color Using Neural Network Models: The Impact of Substrate Lightness Versus Ceramic Shade, Translucency and Thickness.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Mar 28, 2025
OBJECTIVES: This study aimed to assess the influence of background color, ceramic shade, translucency, and thickness on the color matching of lithium disilicate restorations and to use a neural network model to predict the optimal parameters for shad...
Color Spectrophotometry Ceramics Humans Neural Networks, Computer Dental Porcelain Dental Restoration, Permanent Prosthesis Coloring
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