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A Quantum-Classical Hybrid Method for Image Classification and Segmentation

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arxiv 2109.14431 v2 pith:JV73AYZK submitted 2021-09-25 quant-ph

A Quantum-Classical Hybrid Method for Image Classification and Segmentation

Sayantan Pramanik , M Girish Chandra , C V Sridhar , Aniket Kulkarni , Prabin Sahoo , Vishwa Chethan D V , Hrishikesh Sharma , Ashutosh Paliwal
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Vidyut Navelkar Sudhakara Poojary Pranav Shah Manoj Nambiar
This is my paper
classification quant-ph
keywords segmentationclassicalclassificationimagequantumtaskactivityapplied
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Enormous activity in the Quantum Computing area has resulted in considering them to solve different difficult problems, including those of applied nature, together with classical computers. An attempt is made in this work to nail down a pipeline consisting of both quantum and classical processing blocks for the task of image classification and segmentation in a systematic fashion. Its efficacy and utility are brought out by applying it to Surface Crack segmentation. Being a sophisticated software engineering task, the functionalities are orchestrated through our in-house Cognitive Model Management framework.

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