Tooth Region Segmentation by Oral Cavity Model and Watershed Algorithm

Individual tooth region segmentation using modified watershed algorithm with morphological characteristic.

In this paper, a new method for individual tooth segmentation was proposed. The proposed method is composed of enhancement and extraction of boundary and seed of watershed algorithm using trisection areas by morphological characteristic of teeth. The watershed algorithm is one of the conventional methods for tooth segmentation; however, the method has some problems. First, molar region detectio...

Segmentation by Region Based and Watershed Algorithms

Watershed based region growing algorithm

This paper presents a solution to a major drawback of watershed transformation: over segmentation. The solution utilizes one of its main advantages – very good edge extraction. It is a method that simulates pouring water onto a landscape created on a basis of a digital image. Unfortunately transformation produces a region for each local minimum so, usually, the number of watersheds (catchment b...

Watershed, Hierarchical Segmentation and Waterfall Algorithm

A major drawback when using the watershed transformation as a segmentation tool comes from the over-segmentation of the image. Over-segmentation is produced by the great number of minima embedded in the image or in its gradient. A powerful technique has been designed to suppress over-segmentation by a primary selection of markers pointing out the regions or objects to be segmented in the image....

Predictive watershed: a fast watershed algorithm for video segmentation

Watershed transform is a key operator in video segmentation algorithms. However, the computation load of watershed transform is too large for real-time applications. In this paper, a new fast watershed algorithm, named P-Watershed, for image sequence segmentation is proposed. By utilizing the temporal coherence property of the video signal, this algorithm updates watersheds instead of searching...