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Detection of Closed Regions in Digital Images

The aim of this work is to introduce a pre-processing step that can be used to detect objects in computer vision systems. The new technique detects the closed shape objects in the input image and neglects all the irrelevant data regions. The detection process starts by implementing the hit-miss transform to produce a binary noise-free image. Watershed transform followed by a novel detection algorithm is applied next to locate and detect the closed shape objects. The Detection algorithm can handle real-life images in real-time mode; it works well even under noise conditions.