PERSONALITY STABILIZER AND CATHODE BASED PROCESSING SYSTEM
Sritha Zith Dey Babu, Sandeep Kaur, Rajat Goyal, Vishesh Chaudhary, Ayush Pal
Abstract
Visual representation of a real-life object (a person or any other object) in a two-dimensional form is called an image. An image is nothing but a collection of pixels in different color spaces. From this definition, two terms are prominent in understanding what an image really is, these are the term; ‘twodimensional’ and ‘pixels’. Two-dimensional form. When an object is in the two-dimensional for (2D) it means simply that there are only two dimensions of measurements that are used to define it. This could be the common width and height, or the geometric x-axis and y-axis. This property of an image is very important in carrying out mathematical operations to an image. In other words, we are simply saying that we can define or map an image on to an x-y plane simplifies this by defining an image as a two-dimensional function, F (x, y), where x and y are spatial coordinates and the amplitude of F at any pair of coordinates (x, y) is called the intensity of that image at that point. When x, y, and amplitude values of F are finite, we call it a digital image. In other words, an image can be defined by a two-dimensional array specifically arranged in rows and columns. Pixels. To understand more about what an image is, we can think about what exactly makes up an image. A complete image is a set that consists of small samples. These samples are called pixels. They are the smallest elements in any digital image. So, pixels are subsamples of an image that, when get combined, give us the complete image.
References
- R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd Edition, Prentice Hall, 2002.
- D. T. Pham and R. Alcock, Smart Inspection Systems: Techniques and Applications of Intelligent Vision, Academic Press, Oxford, 2003.
- T. M. Lissesand and R. W. Kiefer, Remote Sensing and Image Interpretation, 4th Edition, John Wiley and Sons, 1999.
- J. R. Jensen, Remote Sensing of the Environment: An Earth Resource, Perspective, Prentice Hall, 2000.
- P. Suetens, Fundamentals of Medical Imaging, Cambridge University Press, 2002.
- P. F. Van Der stelt and Qwil G.M.Geraets, “Computer aided interpretation and quantication of angular periodontal Bone defects on dental radiographs”, IEEE Transactions on Biomedical engineering, 38(4), April 1998. 334-338.
- M. A. Kupinski and M. Giger, “Automated Seeded Lesion Segmentation on Digital Mammograms,” IEEE Trans. Med. Imag., Vol. 17, 1998, 510-51 7.
- S. Mitra and T. Acharya, Data Mining: Multimedia, Soft Computing, and Bioinformatics, Wiley, Hoboken, NJ, 2003.
- A. K. Ray and T. Acharya. Information Technology: Principles and Applications, Prentice Hall of India, New Delhi, India, 2004.
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