The Viscous Watershed Transform

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Robust Watershed Segmentation Using the Wavelet Transform

The watershed transform has been used for image segmentation relying mostly on image gradients. However, background noise tends to produce spurious gradients, that cause over-segmentation and degrade the output of the watershed transform. Also, low-contrast edges produce gradients with small magnitudes, which may cause different regions to be erroneously merged. In this paper, a new technique i...

Image Segmentation with the Exact Watershed Transform

Discrete algorithms for low-level boundary detection are geometrically inaccurate and topologically unreliable. Corresponding continuous methods are often more accurate and need fewer or no heuristics. Thus, we transfer discrete boundary indicators into a continuous form by means of differentiable spline interpolation and detect boundaries using the exact watershed transform. We demonstrate tha...

Optic Disc Segmentation Based On Watershed Transform

The retinal fundus photograph is widely used in the diagnosis and treatment of various eye diseases such as diabetic retinopathy and glaucoma. Medical image analysis and processing has great significance in the field of medicine. Segmentation in eye imaging provides an important role for calculating the geometric shape and size of optic disc and anterior segment and abnormal growth of any regio...

Objects Counting Using Mark-Controlled Watershed Transform

This paper introduces the object counting using the mark controlled watershed transforms. Watershed transform is usually adopted for image segmentation in the area of image processing and image analysis because it always generates closed contours for each region in the original image. This method is good choice for image segmentation in the field of mathematical morphology. In this paper we are...