Histogram equalization (HE) is employed to enhance an image by re-distributing gray levels or pixel values of an image considering the pixels as continuous random variable using probability distribution function and cumulative density function. Histogram equalization though used as a contrast enhancement technique, it could be utilized as an information extraction technique especially from a remote sensing satellite image. Re-distribution of cumulative frequency of pixel values within a narrow limit may help in bring out subtle user specific information contributing preliminary phase of knowledge domain. In the present paper, the ability of such approach in bringing out interpretative information from diverse image such as satellite based image and conventional image implementing histogram equalization method has been discussed. Besides, sufficient background materials describing various HE methods, the mathematical computation, design and implementation of algorithm and resultant image with lucid interpretation have been also discussed in the present paper.

Author Name: R.Arvind Srinath,Dr.N.Radhakrishnan

URL: View PDF

Keywords: spatial data, satellite image, image processing, histogram equalization, information extraction, knowledge discovery

ISSN: 2349-2163

EISSN: 2349-2163

EOI/DOI:

Add Citation Views: 4981

---