Image Understanding

Image understanding is the application of computer vision that uses the digital images to analyze, interpret and understand the content contained in those images. It is a field of computer science that uses machine learning and artificial intelligence to identify objects, people, text, and other features in digital images. Image understanding can be used for a variety of applications such as image search and retrieval, object recognition, image segmentation, and object detection. It is also used in medical imaging, self-driving cars, facial recognition, and surveillance. By understanding images, it can help people to better reveal the hidden information contained in the image and thus, improve the accuracy and efficiency of decision making.

← Journal of Applied Robotics and Artificial Intelligence

Related Articles

9 article(s) found

Understanding Ubl-Rpn1 Intermolecular Interaction

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Understanding the Physiology of Adipose Tissue: A Key to Combat Obesity?

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Image Guided Ablations for Thyroid Tumours

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Massive Left Atrium from Severe Mitral Stenosis due to Rheumatic Heart Disease: Clinical Images Not Usually Seen in Modern Radiology and Ultrasound

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Young Children’s Understanding of Fluid Intake.

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Understanding the Stealth Properties of PEGylated lipids: A Mini-Review

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The Influence of Siblings on Young Children’s Understanding of Fluid Intake

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Understanding Reasons for Lack of Effectiveness of National TB Program in Peru: Qualitative Analysis of MDRTB Control

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Understanding Inherited Bleeding Disorders: Genetic Mutations in Blood Coagulation Factors and Regulatory Proteins

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