Grayscale is a series of shades of gray without apparent color. The total absence of transmitted or reflected light, which is the darkest shade, black. The total reflection or transmission of light at all observable wavelengths, which is nothing but lightest possible shade i.e., white. Intermediate shades of gray are characterized by equal brightness levels of the primary colors (red, green and blue) for transmitting light, or equal amounts of the three primary pigments (magenta,cyan, and yellow) for reflected light. This paper focuses mainly on measuring the properties of objects in a grayscale image using Regionprops to calculate the standard Deviation. This is achieved by segmenting a grayscale image to get objects of a binary image. Although, the common problem of including chromatic values to a grayscale image has objective solution,not exact, the present approach tries to provide an approach to help minimize the amount of human labor required for this task. We transfer the source's whole color "mood" to the target image by matching texture information and luminance between the images rather than selecting RGB colors from a group of colors to an individual color components. We pick out to transfer only chromatic information and retain the target image's original luminance values. Further, the procedure is improved by permitting the user to match areas of the two images with rectangular swatches. It is essential to develop grayscale image pixel value, resultant to each object in the binary image to inspect the original grayscale image.Based on the original grayscale image pixel values, the pixel value properties in grayscale image are used to do routine calculations.

Today's technological growth has made ubiquitous health care accessible to all by means of wearable health monitoring system. Such a system is essential for continuous monitoring of physiological signals and to provide early warnings for the chronic illness. The major challenge lies on the selection of processor and transmission mode. This paper highlights on the pilot study of developing ubiquitous health care device using a wearable shirt for a smart home. Unlike the existing system, the programmable system-on-chip (PSoC) ensures the real time operation. The smart home is fully equipped with proper network services for the transfer of patient information via sensors embedded on the shirt at appropriate places to pick up signals such as ECG, respiratory signals and temperature. The acceleration signals obtained using 3-axis accelerometer along with ECG is measured simultaneously to improve the resolution of the diagnosis. The prototype model indicates the potential applications for patient care at a low cost.

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A multiplier is a critical building block found in processors, embedded systems, VLSI applications, application specific integrated circuits, and most DSP applications. Speed, area, and power are the three primary thrust characteristics in VLSI design. Low power and high speed is the desirable characteristic in many applications that can extend the battery's life expectancy and increase the frequency of operation. The goal of this project is to design, implement and analyse the performance of array multipliers, booth multipliers, Wallace tree multipliers, and modified booth multipliers. In this work multipliers with different bit widths are implemented on Spartan 3E FPGA and their performances are analysed. Among these architectures Wallace tree multiplier provides higher speed of operation and consumes lesser power.