AIMC Topic: Color

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Emergent color categorization in a neural network trained for object recognition.

eLife Dec 13, 2022
Color is a prime example of categorical perception, yet it is unclear why and how color categories emerge. On the one hand, prelinguistic infants and several animals treat color categorically. On the other hand, recent modeling endeavors have success...
Neural Networks, Computer Communication Humans Color Visual Perception Animals Infant
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Analysis of Graphic Design Based on AI Interaction Technology.

Journal of environmental and public health Sep 12, 2022
The naive Bayes classification algorithm is used to determine the plane feature vector, and the color image enhancement algorithm based on the visual characteristics is used to improve the local contrast of the plane visual image. In addition, based ...
Color Image Enhancement Technology Bayes Theorem Humans Artificial Intelligence
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Scalable optical manufacture of dynamic structural colour in stretchable materials.

Nature materials Aug 1, 2022
Structurally coloured materials that change their colour in response to mechanical stimuli are uniquely suited for optical sensing and visual communication. The main barrier to their widespread adoption is a lack of manufacturing techniques that offe...
Humans Elastomers Robotics Color
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Color Design Decisions for Ceramic Products Based on Quantification of Perceptual Characteristics.

Sensors (Basel, Switzerland) Jul 20, 2022
The appearance characteristics of ceramic color are an important factor in determining the user's aesthetic perception of the product. Given the problem that ceramic color varies and the user's visual sensory evaluation of color is highly subjective ...
Ceramics Color Semantics Neural Networks, Computer
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Analysis Model of Image Colour Data Elements Based on Deep Neural Network.

Computational intelligence and neuroscience Jul 18, 2022
At present, the classification method used in image colour element analysis in China is still based on subjective visual evaluation. Because the evaluation process will inevitably be disturbed by human factors, it will not only have low efficiency bu...
Image Processing, Computer-Assisted Color Algorithms Reproducibility of Results Humans Neural Networks, Computer
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A deep learning model established for evaluating lid margin signs with colour anterior segment photography.

Eye (London, England) Jun 23, 2022
OBJECTIVES: To evaluate the feasibility of applying a deep learning model to identify lid margin signs from colour anterior segment photography.
Deep Learning Color Humans Artificial Intelligence Dry Eye Syndromes Eyelid Diseases Magnesium Oxide Photography Meibomian Glands
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Any colour you like: fish interacting with bioinspired robots unravel mechanisms promoting mixed phenotype aggregations.

Bioinspiration & biomimetics May 30, 2022
Collective behaviours in homogeneous shoals provide several benefits to conspecifics, although mixed-species aggregations have been reported to often occur. Mixed aggregations may confer several beneficial effects such as antipredator and foraging ad...
Fishes Behavior, Animal Social Behavior Neon Robotics Color Animals Phenotype
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DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification.

Computational intelligence and neuroscience Apr 14, 2022
Color texture classification is a significant computer vision task to identify and categorize textures that we often observe in natural visual scenes in the real world. Without color and texture, it remains a tedious task to identify and recognize ob...
Support Vector Machine Color Data Collection Neural Networks, Computer Research Design
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Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs.

BMJ open ophthalmology Feb 4, 2022
OBJECTIVE: To assess the ability of a deep learning model to distinguish between diabetic retinopathy (DR), sickle cell retinopathy (SCR), retinal vein occlusions (RVOs) and healthy eyes using ultra-widefield colour fundus photography (UWF-CFP).
Humans Fundus Oculi Deep Learning Diabetic Retinopathy Retinal Diseases Retrospective Studies Color Photography
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Automated color detection in orchids using color labels and deep learning.

PloS one Oct 27, 2021
The color of particular parts of a flower is often employed as one of the features to differentiate between flower types. Thus, color is also used in flower-image classification. Color labels, such as 'green', 'red', and 'yellow', are used by taxonom...
Plants Deep Learning Algorithms Flowers Color
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