  This paper deals with enhancement of images with poor contrast and detection
of background. Proposes a frame work which is used to detect the background in
images characterized by poor contrast. Image enhancement has been carried out
by the two methods based on the Weber's law notion. The first method employs
information from image background analysis by blocks, while the second
transformation method utilizes the opening operation, closing operation, which
is employed to define the multi-background gray scale images. The complete
image processing is done using MATLAB simulation model. Finally, this paper is
organized as follows as Morphological transformation and Weber's law. Image
background approximation to the background by means of block analysis in
conjunction with transformations that enhance images with poor lighting. The
multibackground notion is introduced by means of the opening by reconstruction
shows a comparison among several techniques to improve contrast in images.
Finally, conclusions are presented.
