Affiliations: [a] A.K.Choudhury School of IT, University of Calcutta, Kolkata, India | [b] Computer Science and Engineering, BML Munjal University, Gurgaon, India
Correspondence:
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Corresponding author: Sanjay Chakraborty, A.K.Choudhury School of IT, University of Calcutta, Kolkata, India. E-mail: schakraborty770@gmail.com.
Abstract: Color image segmentation is one of the very useful applications in the field of image processing at present. The main aim of this article is to deal with the application of quantum computation aspects to image processing task. The benefit of using quantum version of its corresponding classical image processing task is the speedup and efficiency. In this article, a circuit level implementation of the quantum multilevel threshold based color image segmentation technique is proposed and designed. Then the prospects of this technique are analyzed on some sample RGB color images. This article deals with the detailed design of quantum based multilevel color image segmentation circuit based on some predefined thresholds. The threshold based quantum circuit is built using the concepts of multivalued quantum parallelism, superposition and quantum oracle. This article also describes how the segmented image can be retrieved from quantum superposition states. Finally a detail comparison of the proposed modified technique with some well-known conventional techniques is discussed in this article.
