Spatial Image Enhancement of Color Images Using Texture Analysis
Ashamdeep Singh, Navdeep Kanwal · 2013
Digital images are the most common application of now day’s world. In almost every era of life and technology, the digital images are playing their roles. The problem with images is that, their quality depends on a number of other factors like lighting at the image capturing location, proficiency of the operator, and noise. A lot of techniques have been suggested earlier for the enhancement of the color images which works on histogram of the image or on some particular region. Region based techniques using texture analysis are simple and more effective as they work according to the specified regions of the image. Seed selection is an optimal method for initiate any spatial enhancement. This paper suggests a new hybrid approach for enhancement of the digital images. The suggested technique is based on region growing segmentation and works adaptively for enhancement of the image. Further, the technique is seed dependent so selection of seed is very important in this algorithm. A seed chosen in darker regions will give better results than the seed chosen in brighter region, because it is assumed that user will require enhancing the darker portions of the image. In this paper the process of color image enhancement uses three modules. Initial seed selection is our first module. Our second module is region growing it is used to segment the image based on seed regions. The third and last module is region merging and used morphological operations as texture analysis.