caa a22 4500 605470316 CHVBK 20210128100327.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00500-014-1394-6 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1394-6 A hybrid particle swarm optimization and artificial immune system algorithm for image enhancement [Elektronische Daten] [Prasant Mahapatra, Susmita Ganguli, Amod Kumar] 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. Springer-Verlag Berlin Heidelberg, 2014 Particle swarm optimization nationallicence Artificial immune system nationallicence Negative selection algorithm nationallicence Image enhancement nationallicence Histogram equalization nationallicence Linear contrast stretching nationallicence Mahapatra Prasant V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India aut Ganguli Susmita V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India aut Kumar Amod V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India aut Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2101-2109 1432-7643 19:8<2101 2015 19 500 https://doi.org/10.1007/s00500-014-1394-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1394-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mahapatra Prasant V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India aut NATIONALLICENCE 700 1- Ganguli Susmita V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India aut NATIONALLICENCE 700 1- Kumar Amod V-2(Biomedical Instrumentation Division), CSIR-Central Scientific Instruments Organisation, Sector-30, 160030, Chandigarh, India aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2101-2109 1432-7643 19:8<2101 2015 19 500