forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...

Image segmentation is the process of delineating an image into foreground and background regions. Typically, the computer-assisted image segmentation techniques are classified as either fully automated or interactive segmentation methods. These interactive segmentation techniques are typically graph-driven and are further sub-categorized as either regionor boundary-based algorithms. Livewire is...

Image Segmentation is considered as one of the main steps in image processing. It divides a digital image into multiple regions in order to analyze them. It is also used to distinguish different objects in the image. In segmentation, we simply represent the image into more understandable form. Segmentation basically used to detect the objects, boundaries and other relevant data in the digital i...

“Segmentation” refers to the process of dividing a digital image into multiple segments such as sets of pixels, also known as super pixels. The main objective of segmentation is to simplify and/or change the representation of an image into meaningful image that is more appropriate and easier to analyze. “Image segmentation” is an important aspect of digital image processing. Color images can in...

One of the most important tasks of an image analysis system is image segmentation, the identification of homogeneous regions in an image. In the literature several methods for segmentation are distinguished. Common are edge detection, split and merge, region growing and clustering techniques. Most of the extensive research on image segmentation in the last three decades has been done for gray s...

Image segmentation is the process of partitioning a digital image into multiple segments. Segmentation is fundamental step in analyzing and understanding an image. In this paper, different segmentation algorithms are implemented. Watershed transform is region based segmentation technique. It changes your image into another image whose catchment basins are the objects you want to identify. Where...

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 ...

Abstract—Image segmentation is very important step of image analysis which is used to partitioned image into several homogenous regions by classifying pixels of whole image into different regions that exhibit similar characters. The result of image segmentation is a set of sections that together cover the whole image. This paper has presented a review on various image segmentations techniques l...