Watershed transformation in mathematical morphology is a powerful tool for image segmentation. Watershed transformation based segmentation is generally a marker-controlled segmentation. This paper proposes a novel method of maker image generation based on unsupervised ISODATA classification. The method incorporates spectral information contained in multispectral data into watershed transformati...

The image segmentation is one of the most challenging tasks in the field of image processing and pattern recognition. Watershed transform is a technique that always generates closed contours for every region of an image and one of the best techniques used for image segmentation but over segmentation is a major drawback of this method for which present study was undertaken to devise a new three ...

Watershed transformation is a common technique for image segmentation. However, its use for automatic medical image segmentation has been limited particularly due to oversegmentation and sensitivity to noise. Employing prior shape knowledge has demonstrated robust improvements to medical image segmentation algorithms. We propose a novel method for enhancing watershed segmentation by utilizing p...

Image segmentation is the basis for computer vision and object recognition. Watershed transform is one of the common methods used for region based segmentation. The previous watershed methods results in over segmentation. In this paper we present a novel method for efficient image segmentation by using bit-plane slicing and markercontrolled watershed. Bit-Plane slicing method produces the slice...

The watershed algorithm from mathematical morphology has recently become powerful tool for image segmentation. Image analysis has been used successfully in a number of applications to classify different features according to their relative scales. In this paper we present the multistage behavior of gradient watershed regions. Boundaries of gradient watershed regions correspond to the edges of o...

Segmentation of bony structures plays an important role in image-guided surgery of the spine. In this, a novel approach to the segmentation of vertebral bodies from 2D sagittal magnetic resonance images of the spine is discussed. We would like to show that morphological and watershed segmentation could be used as a powerful segmentation tool in the segmentation of cervical(C) -spine MRI images....

Watershed Transformation in mathematical morphology is a powerful tool for image segmentation. Watershed transformation based segmentation is generally marker controlled segmentation. This paper purposes a novel method of image segmentation that includes image enhancement and noise removal techniques with the Prewitt’s edge detection operator. The proposed method is evaluated and compared to ex...

The objective of this work is to develop a segmentation model in order to remove the portion of lung for the treatment of certain illness such as lung cancer, and tumours. Image segmentation is the process of dividing an image into multiple parts. This method is vital to identify objects or other relevant information in digital images.During past few years we have gone across many region-based ...

Watershed Transformation in mathematical morphology is a powerful tool for image segmentation. Watershed transformation based segmentation is generally marker controlled segmentation. In the last decade medical image processing is immerged as one of the major area of research .In medical science, Magnetic Resonance Imaging(MRI) is a very popular technique used in details.MRI provides good contr...

The objective of this work is to propose a segmentation method for retrieval images of Arabo-Moresque decors. It is a hierarchical segmentation using two successive watershed algorithm. The first watershed based on the Meyer's algorithm allows of identifies the germs which serve for the second watershed segmentation to achieve the segmentation. The proposed method is evaluated by using an ...