فهرست مطالب g. das

Multilevel optimal threshold selection is important and comprehensively used in the area of image processing. Mostly, entropic information-based threshold selection techniques are used. These methods make use of the entropy of the distribution of the grey levels of an image. However, entropy functions largely depend on spatial distribution of the image. This makes the methods inefficient when the distribution of the grey information of an image is not uniform. To solve this problem, a novel non-entropic method for multilevel optimal threshold selection is proposed. In this contribution, simple numbers (pixel counts), explicitly free from the spatial distribution, are used. A novel non-entropic objective function is proposed. It is used for multilevel threshold selection by maximizing the partition score using the adaptive equilibrium method. A new theoretical derivation for the fitness function is highlighted. The key to the achievement is the exploitation of the score among classes, reinforcing an improvised threshold selection process. Standard test images are considered for the experiment. The performances are compared with state-of-the-art entropic value-based methods used for multilevel threshold assortment and are found better. It is revealed that the results obtained using the suggested technique are encouraging both qualitatively and quantitatively. The newly proposed method would be very useful for solving different real-world engineering optimization problems.

Chickpea is an important pulse crop of India, but its productivity is quite low due to several biotic and abiotic stresses. Low seed vigor is one of the issues that occur due to changes in different biochemical properties during improper storage condition. To overcome the biochemical activity during storage, seed priming is a promising strategy. In the present study, two nanopriming agents viz., Zinc Oxide Nanoparticles (ZnONPs) and silver Nanoparticles (AgNPs) were evaluated for biochemical activity (Peroxidase activity, alpha amylase activity, total soluble sugar, total protein) of chickpea at 2, 4, 6 and 9 months storage period after priming for 1, 2, and 6 hours. Result showed increased activity of Peroxidase (POX) with increase of storage time, but the rate of increase was comparatively low when seeds were nanoprimed with ZnONPs. Similarly, alpha amylase activity and protein content were recorded highest and Total Soluble Sugar (TSS) was found lowest in ZnONPs primed seed. Out of the different priming times, 6 hrs was found to be the best at 9 months of storage with positive effect on biochemical parameters. Among the biotic stresses, disease caused by Fusarium oxysporum f.sp. ciceri has been considered as a destructive one, which causes yield loss up to 10% every year. To overcome the biotic stress and enhance the storage life, chickpea seeds were primed with ZnONPs and AgNPS at 100 ppm alone and in combination with each other. We found positive effect on seed germination (%), plant growth, and yield attributing parameter and negative effect on per disease incidence of F. oxysporum f.sp. ciceri.