Estimation of higher order statistical parameters for image enhancement on pure and nano-dispersed dodecyloxyBenzoic acid. Issue 9 (14th July 2020)

• Record Type: Journal Article
• Authors: Tripathi, Durga Prasad; Pardhasaradhi, P.; Madhav, B. T. P.; Manepalli, R. K. N. R.; Jena, U. R.
• Is Part Of: Liquid crystals. Volume 47:Issue 9(2020)
• Page Start: 1247
• Page End: 1263
• Publication Date: 2020-07-14
• Subjects: Image-enhancement algorithm -- POM -- DSC -- p-n- dodecyloxy benzoic acid(12oba) -- ZnOnps; Liquid crystals -- Periodicals; 548.905
• DOI: 10.1080/02678292.2019.1710779
• Languages: English
• ISSNs: 0267-8292

Abstract

ABSTRACT: A new, fast image-enhancement algorithm, for optical microscopy of liquid crystalline systems, is proposed. This is based on higher order statistical parameters in conjunction with a discrete wavelet transform analysis and uses a MATLAB tool. The enhanced images are compared with those produced by currently used global histogram equalisation algorithms – and appear to be superior. The system chosen to evaluate this new algorithm was a two-component system with a low concentration of ZnO nanoparticles dispersed in the liquid-crystalline phase of p-n-dodecyloxy benzoic acid. Graphical abstract: uf0001