Region Based Satellite Image Segmentation Using JSEG Algorithm
ثبت نشده
چکیده
Image segmentation is a major research area due to its extensive usage and application in the area of computer vision. It is the basis of Image analysis and understanding. Satellite Image segmentation is a challenging and tough task due to the inherent nature of the image. A wide variety of various segmentation techniques for colour satellite images have been developed. Here, we come up with an approach called JSEG, "JPEG image segmentation" along with region growing to perform segmentation of satellite images. At first colour quantization is done to represent various regions in the image. Then a class map of that image is formed by replacing the image pixel colors by their corresponding color class labels. Applying this to local windows, results in ―J-image‖. Finally Region growing method is used to segment based on the multi-scale Jimages.
منابع مشابه
Object-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملTexture-based Color Image Segmentation Using Local Contrast Information
A novel texture-based segmentation algorithm for color images is proposed in this paper. Many powerful color image segmentation algorithms such as J-Segmentation (JSEG)suffer from over segmentation. Analysis of undesirable results from JSEG segmentation has led to the development of an improved JSEG method called improved contrast JSEG, or IC-JSEG. The proposed method first constructs a contras...
متن کاملA Garment Image Segmentation Method Based on Salient Region and JSEG
Many model pictures will be adopted in the network marketing of garment products because this method is the most intuitive. Human eyes can easily identify the garment styles, while computer programs struggle to automatically do so. This paper proposes a method for garment image segmentation in which the JSEG algorithm is applied to the image salient region segmentation, and the background regio...
متن کاملColor Remote-sensing Image Segmentation Based on Improved Region Filter
High resolution remote-sensing images provide abundant color, shape structure and texture information. However, region-based segmentations do not allow to fully exploit the richness of this kind of images. Despite the enormous progress in the analysis of remote sensing imagery over the past three decades, there is a lack of guidance on how to select an image segmentation algorithm suitable for ...
متن کاملUnsupervised Color Image Segmentation Based on Local Fractal Dimension
This paper proposes an improved version for the JSEG color image segmentation algorithm, combining the classical JSEG algorithm with a local fractal operator that measures the fractal dimension of each pixel, thus improving the boundary detection. Furthermore, the sensitivity of color variation is enhanced when working with the original color value, instead of quantized color information. Exper...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015