A Review On Reconstruction- Clustering –Of Fuzzy Images
Journal Title: International Journal of Innovative Research & Growth - Year 2018, Vol 7, Issue 1
Abstract
Abstract In this paper fuzzy relation equations are used for compression/decompression process of color images. The results of the reconstructed images are compared. The compression is performed using fuzzy relation equations of min-t type, where t stands for the t-norm. The decompression process is realized via fuzzy relation equation of max-t type. And root means square error (RMSE) and peak signal noise ratio (PSNR) have been evaluated and compared the decompressed images with respect to the original image under different compression rates. Also the properties of images as clustering in images are studied under the Pattern recognition.
Comparative Analysis Of Liabilities Section And Their Effect On Bank Muscat And Bank Dhofar
Abstract Financial sector is considered as the foundation of economic growth. The banking sector in Oman is working well for better customer service. According to the annual report of the Oman Banking sector, it has been...
Two Stage Histogram Enhancement Schemes To Improve Visual Quality Of Funds Images
Abstract Main objective of image enhancement is to process an image in order that result is more appropriate than original image for specific domain. To increasing the visual quality of image, image enhancement technique...
Motion Of A Body In A Resisting Medium Using Fractional Calculus Approach
Abstract In this manuscript we propose a fractional differential equation to describe the vertical motion of a body through the air. To keep the dimensionality of the physical parameter in the system, an auxiliary parame...
Onion – Health Benefits
Abstract Onion is a part of allium family of vegetable and it has been cultivated for centuries for their flavors, characteristics and their medicinal properties. In past few years, onion production has increased by 25%...
A Review On Widely Used Edge Detection Methods
Abstract This work is a review over the articles on edge detection. At in the first place, it gives theoretical background, and after that reviews extensive variety of systems for edge detection. The review likewise thin...