Abstract Image segmentation is an essential component of the remote sensing, image inspection, classification and pattern identification. The road satellite image categoriza tion points a momentous tool for the assessment of images. In the present work, the researchers have evaluated the computer v ision techniques for instance segmentation and knowledge based techniques for categorization of high'resolution de scriptions. For sorting of the road satellite images, the technique named Adapted normalized Graph cut Segmentation with Boun dary Fuzzy classifier object Indexing (AGSBFI) is introduced. Initially, the road satellite image is segmented to have inver se determination of shapes using adapted normalized graph cut segmentation method. The features of the segmented area are extracted and then classification of unknown boundary is carried out using boundary fuzzy classifier. Finally the cl assified images are then recognized based on the lo cation using the arbitrary object indexing scheme. Performance of AGSBFI techn ique is measured in terms of classification efficiency and objects recognition accuracy with better results. AGSBFI co nsiders the problem of inverse determination of unknown shape, boundary and location in the existing method. An analytical and empirical result shows the better object recogn ition accuracy with inverse determination of shape, boundary and locati on of road satellite images.

References

[1] Bae E. and Tai X., Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation, in Proceedings 2 nd International Conference Scale Space and Variation Methods in Computer Vision , Voss, Norway, pp. 1/13, 2009.

[2] Baldevbhai P. and Anand R., Color Image Segmentation for Medical Images using L*a*b* Color Space Patel, IOSR Journal of Electronics and Communication Engineering , vol. 1, no. 2, pp. 24/45, 2012.

[3] Choi J., Ro Y., and Plataniotis K., Boosting Color Feature Selection for Color Face Recognition, IEEE Transactions on Image Processing , vol. 20, no. 5, pp. 1425/1434, 2011.

[4] Dan k O., Matula P., Ortiz/de/Sol rzano C., Mu oz/Barrutia A., Ma ka M., and Kozubek M., Segmentation of Touching Cell Nuclei using a Two/Stage Graph Cut Model, in Proceedings of the 16 th Scandinavian Conference on Image Analysis , Oslo, Norway, pp. 410/419, 2009.

[5] Elragal H., Using Swarm Intelligence for Improving Accuracy of Fuzzy Classifiers, International Scholarly and Scientific Research and Innovation, vol. 4, no. 8, pp. 347/354, 2010.

[6] Ghosh A., Meher S., Shankar B., A Novel Fuzzy Classifier Based on Product Aggregation Operator, Elsevier Journal on pattern recognition , vol. 41, no. 3, pp. 961/971 2008.

[7] Gupta G., Algorithm for Image Processing using Improved Median Filter and Comparison of Mean, Median and Improved Median Filter, International Journal of Soft Computing and Engineering , vol. 1, no. 5, pp. 304/311, 2011.

[8] Hosseini M. and Zekri M., Review of Medical Image Classification using the Adaptive Neuro/ Fuzzy Inference System, Journal of Medical Signals and Sensors , vol . 2, no. 1, pp. 49/60, 2012.

[9] Jahromi M. and Moosavi M., Designing Cost/ sensitive Fuzzy Classification Systems using Rule/weight, in Proceedings of the 1 st International Conference on Advances in Information Mining and Management , Barcelona, Spain, pp. 168/173, 2011.

[10] Li C., Yin J., Bai C., Zhao J., and Ye F., An Object/Oriented Method for Extracting City Information based on High Spatial Resolution Remote Sensing Images, the International Journal of Advancements in Computing Technology , vol. 3, no. 5, pp. 80/88, 2011. Adapted Normalized Graph Cut Segmentation with Boundary Fuzzy Classifier 603

[11] Oikonomopoulos A., Patras I., and Pantic M., Spatiotemporal Localization and Categorization of Human Actions in Unsegmented Image Sequences, IEEE Transactions on Image Processin g, vol. 20, no. 4, pp. 1126/1140, 2011.

[12] Padmavathi G., Muthukumar M., and Thakur S., Non Linear Image Segmentation using Fuzzy C Means Clustering Method with Thresholding for Underwater Images, IJCSI International Journal of Computer Science Issues , vol. 7, no. 3, pp. 35/50, 2010.

[13] Pg B., Zhang L., Zhang D., and Yang J., Image Segmentation by Iterated Region Merging with Localized Graph Cuts, Elsevier Journal on pattern recognition , vol. 44, no.10, pp. 2527/ 2538, 2011.

[14] Saeedi J., Safabakhsh R., and Mozaffari S., Document Image Segmentation using Fuzzy Classifier and the Dual/Tree DWT, in Proceedings of the 4 th International Conference CSI , Tehran, Iran, pp. 385/391, 2009 .

[15] Sidi I. and Belfkih S., Texture Image Segmentation using a New Descriptor and Mathematical Morphology, the International Arab Journal of Information Technology , vol. 10 no. 2, pp. 204/208, 2013. Singaravelu Prabhu DCTech BE M Tech, (PhD). Currently, he is working as an Associate Professor in Kalaivani College of Technology., Coimbatore, Tamilnadu. He has received his Bs degree in computer science and engineering from Bharathidasan University, Trichy, Ms degree in computer and information technology from Manonmaniam Sundaranar University, Tirunelveli. He is doing his doctoral research (PhD) in Computer Science and Engineering from Anna University, Chennai. His research interest is Image Processing. He has published a few Research papers in Internationa l and Indian Journals and attended conferenc es in various institutions. He is a member of CSI (Comput er Society of India). He has also guided several UG an d PG Engineering students for their project works in various fields. Dharmaraj Tensing BE, ME, PhD, ISTE, is currently Director of School of Civil Engineering Karunya University. He has 25 Years of experience at the Postgraduate and Undergraduate Teaching and Research. He has already got several Academic Distinctions in Degree level Recognition Awards from various prestigious Institutes and Organizations. He has published a lot of Research papers in International and Indian Journals and lea ding textbooks. He has delivered Guest Lecturers on vari ous topics at various organizations. He has got the bes t guidance award for his ME thesis in the year 2004 from IIT, Kanpur. He has visited round the globe fo r academic and research purposes.