Color Image Segmentation for Satallite Images
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 12
Abstract
This paper introduces efficient and fast algorithms for unsupervised image segmentation, using low-level features such as color, applied on satellite images. With the increase in spatial resolution of satellite imagery, the image segmentation technique for generating and updating geographical information are becoming more and more important. The present paper describes a satellite image segmentation technique using M-band fuzzy c-Means features. In remotely-sensed multispectral imagery the variations in the reflectivity of surface materials across different spectral bands provide a fundamental mechanism for understanding the image features. Fuzzy methods in remote sensing have received growing interest for their importance in situations where the geographical phenomena are inherently fuzzy. The proposed approach is based on that first enhance multispectral image and then applying clustering technique, using La*b* color space and the vectors are used as inputs for the k-means or fuzzy c-means clustering methods, for a segmented image whose regions are distinct from each other according to color and texture characteristics.
Authors and Affiliations
Manimala Singha , K. Hemachandran
Keywords
Related Articles
- EP ID EP124561
- DOI -
- Views 87
- Downloads 0
Automatic detection of human and Energy saving based on Zigbee Communication
This paper proposes automatic detection of human and Energy saving room architecture to reduce standby power consumption and to make the room easily controllable with an IR remote control of a home appliance. To realize...
COMBINING THE SPECTRAL FEATURES TO IDENTIFY THE MUSICAL INSTRUMENTS AND RECOGNIZE THE EMOTION FROM MUSIC
Music can influence Human pervasive that can console, motivate, feel the love and hate or even bring us tears. Instrument plays a vital role in Musical Composition. ‘Combining the Spectral Features To Identify the Musica...
EFFICIENT TRANSACTION REDUCTION IN ACTIONABLE PATTERN MINING FOR HIGH VOLUMINOUS DATASETS BASED ON BITMAP AND CLASS LABELS
Frequent pattern mining in databases plays an indispensable role in many data mining tasks namely, classification, clustering, and association rules analysis. When a large number of item sets are processed by the databas...
Improved Hybrid Clustering and Distance-based Technique for Outlier Removal
Outliers detection is a task that finds objects that are dissimilar or inconsistent with respect to the remaining data. It has many uses in applications like fraud detection, network intrusion detection and clinical diag...
Animating the Web with jQuery
World globalization and present day technology increases the web users rapidly. Every website is trying to attract the web users. The web site creators /developers add different kind of animations to their websites. Ther...