Binarization of Documents with Complex Backgrounds

Abstract

In this paper, a novel heuristic based approach adopted from George.D.C.Calvacanti algorithm for removing background noise from all types of images with complex background is presented. In this approach Binarization is done by selecting two threshold values, one for foreground and another for background for the separation. Morphological techniques are used for improving the quality of the resultant image. In addition to this PSNR ratio is calculated for all the images and its variation with respect to the intensity of the background noise is observed.

Variation of Ultrasonic Velocity and a Few Acoustic Parameters as a Function Frequency in Some Commonly Used Edible Oils

“…The ultrasonic studies in edible fats and oils are useful to estimate various acoustic parameters such as Acoustic impedance (Z), Bulk modulus(K), and Adiabatic Compressibility(β) are estimated using the results of the above measurements. Indeed, ultrasonic velocities are even used to estimate the composition and adulteration of the oils [4], and these studies of edible oils were used to study the physical properties of these oils [5]. In this article, we report our experimental investigations on ultrasonic velocity and density in some of the most common domestic-used oils in the Rayalaseema region.…”