Morphological image segmentation for realistic image representation preserving semantic object shapes
Hyun-Sang Park · Optical Engineering · 2000
As an attempt to achieve realistic image representation, an efficient segmentation algorithm is proposed. The proposed method aims to represent homogeneous visual objects with few regions while preserving the semantic contents of an image as much as possible. This strategy is quite useful for a typical ''head and shoulder'' video se- quence, since visually homogeneous objects occupy large portions of the image. For this objective, we adopt a bottom-up approach using spatial domain information only. Initially, precise initial image segmenta- tion is performed using an efficient marker extraction algorithm. Then, we classify the initially segmented regions by gradients, and apply an or- dered region-merging algorithm to each class to reduce the number of regions. Finally, we eliminate redundant small regions by considering their neighborhoods. Experimental results show that the segmentation result can be a well self-contained representation of an image since it preserves most of the perceptually important image components. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)03007-5)