A hybrid flower pollination optimization based modified multi-scale retinex for blood cell microscopic image enhancement

Applications of Flower Pollination Algorithm in Electrical Power Systems: A Review

“…The algorithm is regarded as the most suitable for gray images. Due to the poor advantages and disadvantages of the standard MSR, a hybridized algorithm Multi-Scale Retinex-Flower Pollination Algorithm (MSR-FPA), is formed in [77] and uses FPA to assign appropriate values to ensure an ideal weight at every scale of the Gaussian filter and is done using global and local searches. The algorithm in [77] is found to be the best and most efficient algorithm for enhancement of gray images.…”

“…Due to the poor advantages and disadvantages of the standard MSR, a hybridized algorithm Multi-Scale Retinex-Flower Pollination Algorithm (MSR-FPA), is formed in [77] and uses FPA to assign appropriate values to ensure an ideal weight at every scale of the Gaussian filter and is done using global and local searches. The algorithm in [77] is found to be the best and most efficient algorithm for enhancement of gray images. This allows for further processes such as segmentation, classification, and feature extraction, as well as preservation of the original image [77].…”

“…The algorithm in [77] is found to be the best and most efficient algorithm for enhancement of gray images. This allows for further processes such as segmentation, classification, and feature extraction, as well as preservation of the original image [77]. Tests conducted by Shad et al [77] to find a self-regulating proposal for image enhancement using MSR, incorporated FPA to obtain parameters by tuning MSR values.…”

“…This allows for further processes such as segmentation, classification, and feature extraction, as well as preservation of the original image [77]. Tests conducted by Shad et al [77] to find a self-regulating proposal for image enhancement using MSR, incorporated FPA to obtain parameters by tuning MSR values. FPA used in combination with the MSR can converge to the global minimum.…”

An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images

“…Inspired by this fact, the type-2 fuzzy logic system is adopted in this article to segment the chest CT and X-ray images to help early and easy understanding of the COVID-19 infection. The interval type-2 fuzzy logic system is hybridized with the superpixels and the modified flower pollination approach [38] . The incorporation of the concept superpixel renders reduction of computational overhead and helps in providing an efficient way of representing spatial information.…”