A Novel Approach For The Enrichment Of Digital Images Using Morphological Operators

In the proposed task A novel approach for the enrichment of digital images using morphological operators is presented. The main theme of our work in this paper is to implement the enhancement of the digital images by using the global morphological technique to detect the background features of the images which is characterized by poor lighting. The contrast image enhancement carried out by the application of two operators based on the Weber’s law. The first operator employs information from blocked analysis, while the second transformation utilizes the opening by reconstruction, which is employed to define the multi background.. Finally, the performance of the proposed operators is illustrated through the processing of images with different backgrounds, the majority of them with poor lighting condition.