Design and implementation of a multivalued quantum circuit for threshold based color image segmentation

被引:10
作者
Chakraborty, Sanjay [1 ]
Mandal, Sudhindu Bikash [1 ]
Shaikh, Soharab Hossain [2 ]
机构
[1] Univ Calcutta, AK Choudhury Sch IT, Kolkata, India
[2] BML Munjal Univ, Comp Sci & Engn, Gurgaon, India
来源
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS | 2018年 / 12卷 / 02期
关键词
Quantum information; quantum image processing; quantum superposition; quantum computing; threshold-based color image segmentation; quantum parallelism;
D O I
10.3233/IDT-180331
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 speed-up 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 prede-fined 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.
引用
收藏
页码:251 / 264
页数:14
相关论文
共 27 条
[1]  
BEN BRAIEK E., 2014, INT J ENG INNOVATIVE, V3, P14
[2]  
Caraiman S, 2012, 16 IEEE INT C SYST T, P387
[3]   Image segmentation on a quantum computer [J].
Caraiman, Simona ;
Manta, Vasile I. .
QUANTUM INFORMATION PROCESSING, 2015, 14 (05) :1693-1715
[4]   Histogram-based segmentation of quantum images [J].
Caraiman, Simona ;
Manta, Vasile I. .
THEORETICAL COMPUTER SCIENCE, 2014, 529 :46-60
[5]   Quantum Image Filtering in the Frequency Domain [J].
Caraiman, Simona ;
Manta, Vasile I. .
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2013, 13 (03) :77-84
[6]  
Caraiman S, 2013, LECT NOTES COMPUT SC, V7824, P366, DOI 10.1007/978-3-642-37213-1_38
[7]  
Chakraborty S, 2016, 3 INT DOCT S APPL CO
[8]  
Chakraborty S, 2016, HDB RES NATURAL COMP
[9]  
Dey A., 2013, INDIAN GEOTECHNICAL, P1
[10]  
Dey S, 2014, 2014 INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), P311, DOI 10.1109/IndiaCom.2014.6828150