Image-Processing-App

Designed using MATLAB's App Designer

Abstract

Image Editing is an intense process that involves various operations such as color correction by using different color enhancement methods like contrast enhancing, image negative etc. Image resizing is implemented by changing style elements (Height and width) of an image, Image cropping by use of non-rectangular matrix or picture frame for selection of portions, Image flipping by flipping an image at horizontal or vertical axis and Image blurring by Gaussian Algorithm. It’s obvious that these are all a part of creative methods that can edit your images in a simple manner. Hence it is convenient to customers from different industries to share one single environment for editing images.

Introduction

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies. It forms core research area within engineering and computer science disciplines too. Image processing basically includes the following three steps:

 Importing the image via image acquisition tools;

 Analyzing and manipulating the image;

 Output in which result can be altered image or report that is based on image analysis.

There are two types of methods used for image processing namely, analogue and digital image processing. Analogue image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. Digital image processing techniques help in manipulation of the digital images by using computers. The three general phases that all types of data have to undergo while using digital technique are pre-processing, enhancement, and display, information extraction.