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International Journal of Computer Engineering in Research Trends
In Imaging Science, Image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, or a video, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image. These image processing techniques can be used to perform applications in real-world. This image processing technique helps to improve various aspects related in the real- world. Some of these applications are in the field of health science, security assurance and augmented reality and also this can be applied in real-time applications. All these applications are performed by using image processing as its basic platform.
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This paper develops a base for the analysis and processing of the images. Image processing and analysis is an important aspect in the field of engineering and had attracted some of the brilliant minds from around the world in the past few years. The goal of this paper is to implement some of the fundamental techniques depicting the applications of image processing.
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International Journal of Intelligent Computing and Technology (IJICT)
Image is one of the evident sources in image processing applications. Image processing will dramatically change the human computer interaction in future. A large number of image processing applications, tools and techniques helps to extract complex features of an image. While today image processing works beyond multidimensional and see what actually in the image. Several technologies playing on images in real time but image processing is the real core. This paper discusses the overview of an image processing applications, tools and techniques.
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Image processing is rapidly growing technologies today, with its applications in various aspects of a science. Image Processing makes research area within electronics engineering and computer science disciplines too. Image Processing is a technique to enhance and improve raw images received from geo satellites, space probes, aircrafts, military reconnaissance flights or pictures taken in normal daily life from normal cameras. The field is becoming more powerful and popular because of technically powerful personal computers, large memories of available devices as well as graphic softwares. Tools available with that devices and gadgets .Image acquisition, pre processing, segmentation, representation, recognition and interpretation are the different basic steps through which image processing is carriedout..
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A systematic study on importance of image processing and its applications to the field of computer vision is carried out in this paper. An image is defined as an array, or a matrix, of square pixels (elements of picture) arranged in rows and columns. Image processing is a procedure of converting an image into digital form and carry out some operation on it, in order to get an improved image and take out several helpful information from it. Mathematically image processing is defined as the processing of a two dimensional picture by a computer i.e., an image is defined as a function of two real variables, like t(x, y) with an amplitude such as brightness of an image at the coordinate point (a, b). The outcome of image processing can be an image or a set of features or characteristics related to the image. Most image processing methods treats an image as a two-dimensional signal and implementing standard signal-processing techniques to it. The goal of this operation can be divided into 3 categories. Firstly image processing in which input is an image and output is also an image; secondly image analysis in which input is an image and output are the dimensions or measurements. Finally image understanding in which input is an image and output is the standard description of an image. Some of the important applications of image processing in the field of science and technology include computer vision, remote sensing, feature extraction, face detection, forecasting, optical character recognition, finger-print detection, optical sorting, argument reality, microscope imaging, lane departure caution system, Non-photorealistic representation, medical image processing, and morphological imaging. Key Words: Image, Digital Image, Compression, Enhancement, OCR, ATR.
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