Old text images show many common signs of aging. These artifacts include noise, blurring, and fading. We will enhance these images to make these old texts readable so that we can archive the images and preserve our history.Morphological filters have been successfully employed in edge and object detection algorithms. These filters possess computational advantages over traditional edge detection methods such as gradient-based edge detection algorithms, as they are less computationally complex and are less influenced by extreme data values.In this paper, we propose new techniques for an improved morphological filter based object detection algorithm and image enhancement algorithm. We utilize components of image enhancement measures previously introduced by Agaian, Silver, and Panetta to focus on areas within an image that contain the most edge information. These algorithms are incorporated into our morphological filters as well as more complex pre- and post-processing methods.