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Texture Redefined: A Second Order Statistical Based Approach for Brodatz Dataset Samples 1–35 (A)

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Next Generation Computing Technologies on Computational Intelligence (NGCT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 922))

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Abstract

In this research we have used the Brodatz dataset for redefining the texture features. We have computed the second order image statistical parameters like contrast, correlation, energy and homogeneity for defining the features. These features are texture visual features which are affected by the human visual perception. We have computed these features for the first 35 textured surfaces obtained from the Brodatz dataset and on the basis of this we have concluded that which surface have obtained maximum and minimum statistical value and its effects on the human visual perception.

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References

  1. Yuan, J., Wang, D., Li, R.: Remote sensing image segmentation by combining spectral and texture features. Trans. Geosci. Remote Sens. 52(1), 16–24 (2014)

    Article  Google Scholar 

  2. Depeursinge, A., Rodrigueza, A.F., Villeb, D.V., Muller, H.: Three–dimensional solid texture analysis in biomedical imaging: review and opportunities. Med. Image Anal. 18(1), 176–196 (2014)

    Article  Google Scholar 

  3. Zhai, W., Shen, H., Huang, C., Pei, W.: Fusion of polarimetric and texture information for urban building extraction from fully polarimetric SAR imagery. Remote Sens. Lett. 7(1), 31–40 (2016)

    Article  Google Scholar 

  4. Jamkara, S.S., Raob, C.B.K.: Index of aggregate particle shape and texture of coarse aggregate as a parameter for concrete mix proportioning. Elsevier Cement Concrete Res. 34(11), 2021–2027 (2004)

    Article  Google Scholar 

  5. Lu, Y., Tsin, Y., Lin, W.C.: The promise and perils of near-regular texture. Int. J. Comput. Vis. 62(1/2), 142–159 (2005)

    Google Scholar 

  6. Nemoto, K., Yanagi, K., Aketagawa, M.: Development of a roughness measurement standard with irregular surface topography for improving 3D surface texture measurement. Meas. Sci. Technol. 20, 1–7 (2009)

    Article  Google Scholar 

  7. Haralick, R.M.: Statistical and structural approaches to texture. Proc. IEEE 67(5), 786–804 (1979)

    Article  Google Scholar 

  8. Gotlieb, C.C., Kreyszig, H.E.: Texture descriptors based on co-occurrence matrices. Comput. Vis. Graph. Image Process. 51(1), 70–86 (1990)

    Article  Google Scholar 

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Acknowledgement

Authors like to express their deep gratitude and thanks to Department of Electrical Engineering, University of South California (USC), for providing the Brodatz dataset used in this research work.

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Authors and Affiliations

  1. Department of Electronics and Communication, Graphic Era (Deemed to be University), 566/6 Bell Road Clement town, Dehradun, Uttarakhand, India

    Amit Kumar Shakya, Shalini Tiwari, Anurag Vidyarthi & Rishi Prakash

Authors
  1. Amit Kumar Shakya
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  2. Shalini Tiwari
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  3. Anurag Vidyarthi
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  4. Rishi Prakash
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Corresponding author

Correspondence to Amit Kumar Shakya .

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Editors and Affiliations

  1. University of Petroleum and Energy Studies, Dehradun, India

    Manish Prateek

  2. University of Petroleum and Energy Studies, Dehradun, India

    Durgansh Sharma

  3. University of Petroleum and Energy Studies, Dehradun, India

    Rajeev Tiwari

  4. University of Petroleum and Energy Studies, Dehradun, India

    Rashmi Sharma

  5. National Institute of Technology, Srinagar, Uttrakhand, India

    Kamal Kumar

  6. Thapar University, Patiala, India

    Neeraj Kumar

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Shakya, A.K., Tiwari, S., Vidyarthi, A., Prakash, R. (2019). Texture Redefined: A Second Order Statistical Based Approach for Brodatz Dataset Samples 1–35 (A). In: Prateek, M., Sharma, D., Tiwari, R., Sharma, R., Kumar, K., Kumar, N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-15-1718-1_1

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  • DOI: https://doi.org/10.1007/978-981-15-1718-1_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1717-4

  • Online ISBN: 978-981-15-1718-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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