AIMC Topic: Color

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Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage.

Food research international (Ottawa, Ont.) Jul 25, 2024
The classification of carambola, also known as starfruit, according to quality parameters is usually conducted by trained human evaluators through visual inspections. This is a costly and subjective method that can generate high variability in result...
Fruit Averrhoa Artificial Intelligence Deep Learning Color Neural Networks, Computer
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Convolutional neural network advances in demosaicing for fluorescent cancer imaging with color-near-infrared sensors.

Journal of biomedical optics Jul 23, 2024
SIGNIFICANCE: Single-chip imaging devices featuring vertically stacked photodiodes and pixelated spectral filters are advancing multi-dye imaging methods for cancer surgeries, though this innovation comes with a compromise in spatial resolution. To m...
Humans Image Processing, Computer-Assisted Color Optical Imaging Neural Networks, Computer Neoplasms Spectroscopy, Near-Infrared
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Dual-stage feedback network for lightweight color image compression artifact reduction.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
Lossy image coding techniques usually result in various undesirable compression artifacts. Recently, deep convolutional neural networks have seen encouraging advances in compression artifact reduction. However, most of them focus on the restoration o...
Artifacts Data Compression Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Color Algorithms Feedback
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An eco-friendly approach for analysing sugars, minerals, and colour in brown sugar using digital image processing and machine learning.

Food research international (Ottawa, Ont.) Jun 28, 2024
Brown sugar is a natural sweetener obtained by thermal processing, with interesting nutritional characteristics. However, it has significant sensory variability, which directly affects product quality and consumer choice. Therefore, developing rapid ...
Sugars Sweetening Agents Color Minerals Sucrose Machine Learning Algorithms Image Processing, Computer-Assisted Smartphone Food Analysis
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Assessing spectral effectiveness in color fundus photography for deep learning classification of retinopathy of prematurity.

Journal of biomedical optics Jun 18, 2024
SIGNIFICANCE: Retinopathy of prematurity (ROP) poses a significant global threat to childhood vision, necessitating effective screening strategies. This study addresses the impact of color channels in fundus imaging on ROP diagnosis, emphasizing the ...
Humans Color Fundus Oculi Image Interpretation, Computer-Assisted Neural Networks, Computer Infant, Newborn Deep Learning Retinopathy of Prematurity Photography
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Growth period determination and color coordinates visual analysis of tomato using hyperspectral imaging technology.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 28, 2024
Growth period determination and color coordinates prediction are essential for comparing postharvest fruit quality. This paper proposes a tomato growth period judgment and color coordinates prediction model based on hyperspectral imaging technology. ...
Fruit Hyperspectral Imaging Linear Models Discriminant Analysis Color Algorithms Solanum lycopersicum Support Vector Machine Principal Component Analysis Least-Squares Analysis
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Colour fusion effect on deep learning classification of uveal melanoma.

Eye (London, England) May 21, 2024
BACKGROUND: Reliable differentiation of uveal melanoma and choroidal nevi is crucial to guide appropriate treatment, preventing unnecessary procedures for benign lesions and ensuring timely treatment for potentially malignant cases. The purpose of th...
Uveal Neoplasms Uveal Melanoma Choroid Neoplasms ROC Curve Diagnosis, Differential Color Male Melanoma Middle Aged Aged Deep Learning Adult Humans Retrospective Studies Female
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SAMCF: Adaptive global style alignment and multi-color spaces fusion for joint optic cup and disc segmentation.

Computers in biology and medicine May 21, 2024
The optic cup (OC) and optic disc (OD) are two critical structures in retinal fundus images, and their relative positions and sizes are essential for effectively diagnosing eye diseases. With the success of deep learning in computer vision, deep lear...
Image Interpretation, Computer-Assisted Deep Learning Humans Optic Disk Image Processing, Computer-Assisted Algorithms Color
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Machine learning-aided evaluation of oxidative strength of cold atmospheric plasma-treated water.

Biomedical physics & engineering express May 14, 2024
Plasma medicine is gaining attraction in the medical field, particularly the use of cold atmospheric plasma (CAP) in biomedicine. The chemistry of the plasma is complex, and the reactive oxygen species (ROS) within it are the basis for the biological...
Plasma Gases Reactive Oxygen Species Oxidation-Reduction Color Machine Learning Algorithms Water
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Vein pattern visualisation for biometric identification with cGAN on a New Zealand dataset.

Forensic science international May 10, 2024
Forensic identification using vein patterns in standard colour images presents significant challenges due to their low visibility. Recent efforts have employed various computational techniques, including artificial neural networks and optical vein di...
Image Processing, Computer-Assisted Humans Color Neural Networks, Computer Male New Zealand Female Middle Aged Datasets as Topic Aged Adolescent Biometric Identification Young Adult Veins Adult
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