Estimation of higher order statistical parameters for image enhancement on pure and nano-dispersed dodecyloxyBenzoic acid

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

KEYWORDS:

• Image-enhancement algorithm
• POM
• DSC
• p-n- dodecyloxy benzoic acid(12oba)
• ZnOnps

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by K L Deemed to be University under internal funding project File no. KLEF/IF/SEP/2019/002.