Identifying the microbial population and type of them is a crucial measure in water wastewater treatment processes, reuse wastewater, sludge system. Todays, manual methods are usually used to count detect bacteria sewage laboratories which mostly suffer from human errors. This study aims at presenting an accurate method based on image analysis through convolution neural network (CNN) classify E...

For digital camera systems, transforming from the native camera RGB signals into an intermediate working space is often required, with common examples involving transformations into XYZ or the sRGB. For scene-linear camera signals, by far the most common approach utilizes 3x3 matrices. For color pipelines designed for Rec709 displays, matrix-based input transforms are capable of producing reaso...

A multi-spectral diffuse reflectance imaging method based on a single snap shot of Red-Green-Blue images acquired with the exposure time of 65 ms (15 fps) was investigated for estimating melanin concentration, blood concentration, and oxygen saturation in human skin tissue. The technique utilizes the Wiener estimation method to deduce spectral reflectance images instantaneously from an RGB imag...

A natural color mapping method has been previously proposed that matches the statistical properties (mean and standard deviation) of night-vision (NV) imagery to those of a daylight color image (manually selected as the “target” color distribution). Thus the rendered NV image appears to resemble the target image in terms of colors. However, in this prior method the colored NV image may appear u...

In this paper, fractal monochrome image compression technique proposed by Jacquin is investigated for 24-bit true color image by encoding the RGB components' images independently. To exploit the spectral redundancy in RGB components, the root mean square error distortion measure in grayscale space is extended to 3-dimensional color space for fractal-based color image coding. Experimental result...

The changes reflect our ongoing determination to offer the speediest publication times and the most accurate figure reproduction. No more paper please Our new instructions to authors are geared entirely toward online submission. Beyond saving trees, this switch to accepting only electronic manuscripts means faster processing of papers from submission to review to publication. Currently, most re...

We propose a new method of color-pattern recognition by optical correlation that uses a linear description of spectral reflectance functions and the spectral power distribution of illuminants that contains few parameters. We report on a method of preprocessing color input scenes in which the spectral functions are derived from linear models based on principal-component analysis. This multichann...

background & aim: in this study, is done during one-year research on blue–green and green algae for antimicrobial activity in mashhad suburb. aqueous, ether, and methanol extracts from 44 species blue – green algae and green algae were examined for antimicrobial properties against four bacteria (tow positive gram bacteria and tow negative gram bacteria) and tow fungous. material & meth...

In advanced security and automated surveillance systems, Object Recognition and Classification plays a vital role. Motion Based Recognition has been improved by using Recurrent Motion Image (RMI) classifier. For efficient Object Recognition the input video frames endures Preprocessing method such as (i) Background Subtraction using Linf distant image method, (ii) Shadow Points located by transf...