Articles with "computer vision" as a keyword



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Decoding family-level features for modern and fossil leaves from computer-vision heat maps.

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Published in 2022 at "American journal of botany"

DOI: 10.1002/ajb2.1842

Abstract: PREMISE OF THE STUDY Angiosperm leaves present a classic identification problem due to their morphological complexity. Computer-vision algorithms can identify diagnostic regions in images, and heat map outputs illustrate those regions for identification, providing novel… read more here.

Keywords: computer vision; heat; family; heat maps ... See more keywords
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Computer vision-based method for classification of wheat grains using artificial neural network.

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Published in 2017 at "Journal of the science of food and agriculture"

DOI: 10.1002/jsfa.8080

Abstract: BACKGROUND A simplified computer vision-based application using artificial neural network (ANN) depending on multilayer perceptron (MLP) for accurately classifying wheat grains into bread or durum is presented. The images of 100 bread and 100 durum… read more here.

Keywords: computer vision; wheat; ann model; wheat grains ... See more keywords
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Computer vision‐based tree trunk and branch identification and shaking points detection in Dense‐Foliage canopy for automated harvesting of apples

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Published in 2021 at "Journal of Field Robotics"

DOI: 10.1002/rob.21998

Abstract: Fresh market apples are one of the high‐value crops in the United States. Washington alone has produced two‐thirds of the annual national production in the past 10 years. However, the availability of seasonal labor is… read more here.

Keywords: shaking points; automated harvesting; resnet; computer vision ... See more keywords
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2D photos are great, but what about 3D imaging?

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Published in 2021 at "Graefe's Archive for Clinical and Experimental Ophthalmology"

DOI: 10.1007/s00417-021-05479-4

Abstract: Dear Editor, With great interest, we read the article “Analysis of surgical outcome after upper eyelid surgery by computer vision algorithm using face and facial landmark detection” by our highly appreciated colleagues İlke Bahçeci Şimşek… read more here.

Keywords: landmark; three dimensional; landmark detection; system ... See more keywords
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Detecting fraudulent labeling of rice samples using computer vision and fuzzy knowledge

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Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-4472-9

Abstract: Pakistan’s climate allows growing several types of crops, among them is rice. Basmati is one of the most harvested and most profitable varieties of rice because of its unique fragrance. Rice varieties are difficult to… read more here.

Keywords: fraudulent labeling; rice; labeling rice; vision fuzzy ... See more keywords
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Novel Distributional Visual-Feature Representations for image classification

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6674-1

Abstract: The Bag-of-Visual-Words (BoVW) representation is a well known strategy to approach many computer vision problems. The idea behind BoVW is similar to the Bag-of-Words (BoW) used in text mining tasks: to build word histograms to… read more here.

Keywords: representations image; image; image classification; novel distributional ... See more keywords
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Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review

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Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-021-10714-5

Abstract: The universal transmission of pandemic COVID-19 (Coronavirus) causes an immediate need to commit in the fight across the whole human population. The emergencies for human health care are limited for this abrupt outbreak and abandoned… read more here.

Keywords: computer vision; covid; coronavirus; artificial intelligence ... See more keywords
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Robust Fitting in Computer Vision: Easy or Hard?

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Published in 2019 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-019-01207-y

Abstract: Robust model fitting plays a vital role in computer vision, and research into algorithms for robust fitting continues to be active. Arguably the most popular paradigm for robust fitting in computer vision is consensus maximisation… read more here.

Keywords: consensus maximisation; computer vision; computer; robust fitting ... See more keywords
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Applications of Computer Vision in Plant Pathology: A Survey

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Published in 2019 at "Archives of Computational Methods in Engineering"

DOI: 10.1007/s11831-019-09324-0

Abstract: The real-time decision support system can enhance the crop or plant growth, therefore, increasing their productivity, quality, and economic value. This also helps us in serving the nature by supervising the plant growth in balancing… read more here.

Keywords: pathology; computer vision; plant; applications computer ... See more keywords
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Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks

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Published in 2017 at "JOM"

DOI: 10.1007/s11837-016-2226-1

Abstract: AbstractBy applying computer vision and machine learning methods, we develop a system to characterize powder feedstock materials for metal additive manufacturing (AM). Feature detection and description algorithms are applied to create a microstructural scale image… read more here.

Keywords: computer vision; machine learning; powder; vision machine ... See more keywords
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Development of a computer vision system to estimate the colour indices of Kinnow mandarins

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Published in 2019 at "Journal of Food Science and Technology"

DOI: 10.1007/s13197-019-03641-9

Abstract: Maturity of a citrus fruit is generally expressed by a numerical value called citrus colour index (CCI). The success of methods employed in estimating the maturity depends on the cultivar and climatic conditions of growing… read more here.

Keywords: colour; method; vision system; development computer ... See more keywords