Image Segmentation Based on Height Maps

Abstract. In this paper we introduce a new method for image segmentation. It is based on a height map generated from the input image. The height map characterizes the image content in such a way that the application of the watershed concept provides a proper segmentation of the image. The height map enables the watershed method to provide better segmentation results on difficult images, e.g., images of natural objects, than without the intermediate height map generation. Markers used for the watershed concept are generated automatically from the input data holding the advantage of a more autonomous segmentation. In addition, we introduce a new edge detector which has some advantages over the Canny edge detector. We demonstrate our methods by means of a number of segmentation examples. Key words: segmentation, edge detection, watershed, height maps

• Type: Conference
• Year: 2007
• Where: CAIP
• Authors: Gabriele Peters, Jochen Kerdels
• Keywords: CAIP 2007, Height Maps, Image Segmentation, Watershed Concept