Performance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation

Document Type : Technical Brief

Authors
Praveen Agarwal 1
Shilpi Jain 2
Ruchika Garg 3
1 Poorima College of Engineering, Department of Electronics & communication Engineering, Jaipur, Rajasthan, India
2 Poorima College of Engineering, Department of Mathematics, Jaipur, Rajasthan, India
3 MIT, Department of Electronics & communication Engineering, Jaipur, Rajasthan, India
10.22055/jacm.2017.12639
Abstract
Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without texture. The final segmentation is simply achieved by a spatially color segmentation using feature vector with the set of color values contained around the pixel to be classified with some mathematical equations. The spatial constraint allows taking into account the inherent spatial relationships of any image and its color. This approach provides effective PSNR for the segmented image. These results have the better performance as the segmented images are compared with Watershed & Region Growing Algorithm and provide effective segmentation for the Spectral Images & Medical Images.
Keywords
Segmentation
Hyperspectral
EM
Subjects
[1] Gonzalez, R.C., Woods, R.E., Digital Image Processing, Pearson Education 2nd Edition Asia, ISBN: 0-201-18075-8, 2002.
[2] Mohan, A., Sapiro, G., Bosch, E., Spatially Coherent Nonlinear Dimensionality Reduction and Segmentation of Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, Vol. 4, No. 2, 206-210, 2007.
[3] Özlem, N., Subakan, B., Vemuri C., A Quaternion Framework for Color Image Smoothing and Segmentation, Int. J. Comput. Vis., Vol. 91, 233-250, 2011, DOI 10.1007/s11263-010-0388-9.
[4] Mahjoub, M.A., Kalti, K., Image segmentation by adaptive distance based on EM algorithm, International Journal of Advanced Computer Science and Applications, Special Issue, 19-25, 2011.
Journal of Applied and Computational Mechanics
Volume 3, Issue 2
Spring 2017
Pages 144-149