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 136
- Downloads 0
Performance Evaluation of Mutation / Non- Mutation Based Classification With Missing Data
A common problem encountered by many data mining techniques is the missing data. A missing data is defined as an attribute or feature in a dataset which has no associated data value. Correct treatment of these data is cr...
Towards Intelligent Information Retrieval on Web
The World Wide Web is an information resource with virtually unlimited potential. However, this potential is relatively untapped because it is difficult for machines to process and integrate this information meaningfully...
Resource Scheduling in Hybrid Grid Environment
This paper deals with the resource scheduling algorithm for multi cluster hybrid grid environment. The combination of both the centralized and decentralized grid environments is collectively called as the hybrid grid env...
Question Categorization Using SVM Based on Different Term Weighting Methods
This paper deals with the performance of Question Categorization based on four different term weighting methods. Term weighting methods such as tf*idf, qf*icf, iqf*qf*icf and vrf together with SVM classifier were used fo...
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...