Introduction to Seminar Topic on Image Processing:
Objective
This abstract can be used as a blue-print for the study done on image processing and the tools that enable us obtain and process image.In order to understand image processing some of the basic parameters should be considered.
Representation of colors
The colors are represented in two scale namely 8-bit grey scale and 24-bit color scale. 8-bit represents 256 shades where 0 represents black and 255 represents white. In case of 24-bit scale color is stored in red, green and blue. The colors can be used in different forms which has its own pros and cons. With the main aim to segregate colors by group different naming nomenclatures are given.
Image representation
Image has been coined as a collection of pixels with each pixel having its own color. The image is determined on the basis on sampling and the resolution. Image can converted into discrete form with the help of modern day devices.Digital cameras enable us by providing high resolution of the image to be captured. This improves the sampling level too.
Image processing clearly shows that with greater resolution of the picture a detailed analysis of an image can be can be obtained. This is because there is a direct relationship between sampling and information of the image.
Histogram
Being an environment friendly technique to analyze an image, it can be a good source of measuring the color spread of the image.
It represents a graphical representation of the count of the frequency at different color level. Extending histogram give a varied feature of plot for each color.
Conclusion
With improving image processing techniques the detailed analysis of the information of the image can be obtained from the image. This not only enhances the quality of the image but also enables us to transmit the image over a channel of communication.
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