Image processing

Abstract Image enhancement is to process an image, in order to make the result more suitable than original image for specific application. i.e. the image is enhanced.For that many image enhancement techniques are used. Appropriate choice of such techniques is very important.Image Enhancement is simple and it’s the area based on digital image processing techniques. It improves the quality of the images by working with the existing data. Keywords: Image processing, Image enhancement 1. Introduction

measure everything with a scale or a tape, we use some optical methods of Image Processing. In this paper, we present an approach that can be used to determine the lengths and some other degrees of measurements like diameter, spline, Caliper(perpendicular angle) etc. We used mostly the Image Processing techniques because all the measurements are done on an Image. We also use some other techniques like Euclidean

INTRODUCTION 1.1. Introduction to broad area of research Image processing: Image processing is a methodology to perform some operations on an image, so as to urge an enhanced image or to extract some helpful data from it. It is treated as an area of signal processing where both the input and output signals are images. Images are portrayed as two dimensional matrix, and we are applying already having signal processing strategies to input matrix. Images processing finds applications in several fields like photography

science, image processing is processing of images using mathematical operations by using any conformation of signal processing for which the input is an image, such as a picture or video frame, the out turn of image processing may be either an image or a set of features or parameters corrsponding to the image.Most image-processing techniques implicate treating the image as a 2D signal and appealing worth signal-processing techniques to it. Image processing usually refers to digital image processing, but

Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-today life for various applications. Various techniques have been developed in Image Processing during the last four to five decades. Most of the techniques are developed for enhancing images obtained from unmanned spacecrafts, space probes and military reconnaissance flights. Image Processing systems are becoming popular due to easy

IMAGE PROCESSING ? EDGE DETECTION In image processing, Edge Detection is a fundamental tool based on mathematical methods to detect points in a digital image at which there is a huge variation in the brightness between each other. These points are organized in a line of segments which is called edges. The purpose of detecting those variations is to help analyze an image in the following aspects: discontinuities in depth? discontinuities in surface orientation? changes in material properties? variations

Introduction to broad area of research 1.1.1. Image processing: Image processing is a methodology to perform some operations on an image, so as to urge an enhanced image or to extract some helpful data from it. It is treated as an area of signal processing where both the input and output signals are images. Images are portrayed as two dimensional matrix, and we are applying already having signal processing strategies to input matrix. Images processing finds applications in several fields like photography

Abstract- In recent years the image processing techniques are used commonly in various medical areas for improving earlier detection and treatment stages, in which the time span or elapse is very important to discover the disease in the patient as possible as fast, especially in many tumours such as the lung cancer, breast cancer. This system generally first segments the area of interest (lung) and then analyses the separately obtained area for nodule detection in order to examine the disease. Even

FEATURE EXTRACTION Feature extraction is the third stage in medical image processing application, after image pre-processing. In feature extraction, the features like the shape, colour, texture are used to describe an image content[bio2].features can be short relevance or strong relevant ones. Short relevant features give only little information about the image, while strong relevant features provide significant information about the image. Finding these strong relevant features are time consuming and

INTRODUCTION In image processing, noise reduction and restoration of image is expected to enhance the qualitative inspection of an image and the performance criteria of quantitative image analysis methods Digital image is inclined to a variety of noise which attribute the quality of image. The main purpose of de-noising the image is to reinstate the detail of original image as much as possible. The criteria of the noise removal problem depends on the noise type by which the image is contaminated