AIMC Topic: Photography

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Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest.

Advances in biochemical engineering/biotechnology Jan 1, 2017
Individual items of any agricultural commodity are different from each other in terms of colour, shape or size. Furthermore, as they are living thing, they change their quality attributes over time, thereby making the development of accurate automati...
Fruit Quality Control Machine Learning Food Analysis Pattern Recognition, Automated Photography Vegetables Food Technology
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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

JAMA Dec 13, 2016
IMPORTANCE: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of the...
Humans Diabetic Retinopathy Algorithms Female Neural Networks, Computer Machine Learning Macular Edema Observer Variation Photography Ophthalmologists Middle Aged Fundus Oculi Sensitivity and Specificity Male
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Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus.

Journal of cataract and refractive surgery Feb 1, 2016
PURPOSE: To describe the topographic and tomographic characteristics of normal fellow eyes of unilateral keratoconus cases and to evaluate the accuracy of machine learning classifiers in discriminating healthy corneas from the normal fellow corneas.
Photography Corneal Pachymetry ROC Curve Keratoconus Female Corneal Topography Reproducibility of Results Diagnostic Techniques, Ophthalmological Young Adult Middle Aged Adult Case-Control Studies Machine Learning Cornea Retrospective Studies Male Humans
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Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System.

Journal of digital imaging Dec 1, 2015
Diabetic retinopathy is a major cause of vision loss in diabetic patients. Currently, there is a need for making decisions using intelligent computer algorithms when screening a large volume of data. This paper presents an expert decision-making syst...
Expert Systems Image Interpretation, Computer-Assisted Pattern Recognition, Automated Exudates and Transudates Humans Color Photography Reproducibility of Results Diabetic Retinopathy Fundus Oculi Algorithms ROC Curve Sensitivity and Specificity Support Vector Machine
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Multiple hypotheses image segmentation and classification with application to dietary assessment.

IEEE journal of biomedical and health informatics Jan 1, 2015
We propose a method for dietary assessment to automatically identify and locate food in a variety of images captured during controlled and natural eating events. Two concepts are combined to achieve this: a set of segmented objects can be partitioned...
Diet Records Food Photography Artificial Intelligence Image Interpretation, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated Mobile Applications Sensitivity and Specificity Food Analysis
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