A hybrid particle swarm optimization and artificial immune system algorithm for image enhancement

Verfasser / Beitragende:
[Prasant Mahapatra, Susmita Ganguli, Amod Kumar]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/8(2015-08-01), 2101-2109
Format:
Artikel (online)
ID: 605470316
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024 7 0 |a 10.1007/s00500-014-1394-6  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1394-6 
245 0 2 |a A hybrid particle swarm optimization and artificial immune system algorithm for image enhancement  |h [Elektronische Daten]  |c [Prasant Mahapatra, Susmita Ganguli, Amod Kumar] 
520 3 |a Image enhancement means to improve the perception of information in images. Histogram equalization (HE) and linear contrast stretching (LCS) are the commonly used methods for image enhancement. But images obtained through these processes, generally, have excessive contrast enhancement due to which they are not suitable for use in fields where brightness is of critical importance. In this paper, a hybrid algorithm based on Particle Swarm Optimization (PSO) along with Negative Selection Algorithm, a model of artificial immune system, is proposed for image enhancement which is achieved by enhancing the intensity of the gray levels of the images. The proposed algorithm is applied to histogram equalized images of lathe tool and MATLAB inbuilt images to verify its effectiveness. The results are compared with conventional enhancement techniques such as HE, LCS and Standard PSO algorithm based image enhancement. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Particle swarm optimization  |2 nationallicence 
690 7 |a Artificial immune system  |2 nationallicence 
690 7 |a Negative selection algorithm  |2 nationallicence 
690 7 |a Image enhancement  |2 nationallicence 
690 7 |a Histogram equalization  |2 nationallicence 
690 7 |a Linear contrast stretching  |2 nationallicence 
700 1 |a Mahapatra  |D Prasant  |u V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India  |4 aut 
700 1 |a Ganguli  |D Susmita  |u V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India  |4 aut 
700 1 |a Kumar  |D Amod  |u V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/8(2015-08-01), 2101-2109  |x 1432-7643  |q 19:8<2101  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1394-6  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1394-6  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Mahapatra  |D Prasant  |u V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ganguli  |D Susmita  |u V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kumar  |D Amod  |u V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/8(2015-08-01), 2101-2109  |x 1432-7643  |q 19:8<2101  |1 2015  |2 19  |o 500