An important characteristic of the image processing system is the significant level of testing and experimentation that normally is required before arriving at an acceptable solution. There is no clear cut boundaries for the implementation of the application based on the digital image processing, it may be varies in continuum from image processing at one end to the computer vision at the other. However, one useful paradigm is to consider three types of computerized processes in this continuum: low level, mid level and high level processes. A low level process involves primitive operations such as image processing to reduce noise, contrast enhancement and image sharpening. Mid level processes on image involves tasks such as segmentation, recognition. Finally, higher level processing involves “making sense” of an ensemble of recognized objects, as in image analysis and performing the cognitive functions normally associated with human vision. Here this experimentation process involves low level and mid level process of image processing, these processes can be further implemented in the number of other object decisions from basic analysis to data processing, image processing, image transmission, image construction, image reconstruction and for the security concern. This algorithm is specially developed in view to operate with data acquisition system, image capturing and processing, enhancement of the old but important images, enhancement of faint images by removing noises and number of others scientific analysis.
Filtering, Smoothing, Median filter, Histogram Equalization
