A Context Sensitive Thresholding Technique for Automatic Image Segmentation

  • Anshu Singla
  • Swarnajyoti Patra
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 32)


Recently, energy curve of an image is defined for image analysis. The energy curve has similar characteristics as that of histogram but also incorporates the spatial contextual information of the image. In this work we proposed a thresholding technique based on energy curve of the image to find out the optimum number of thresholds for image segmentation. The proposed method applies concavity analysis technique existing in the literature on the energy curve to detect all the potential thresholds. Then a threshold elimination technique based on cluster validity measure is proposed to find out the optimum number of thresholds. To assess the effectiveness of proposed method the results obtained using energy curve of the image are compared with those obtained using histogram of the image. Experimental results on four different images confirmed the effectiveness of the proposed technique.


Concavity analysis DB index Energy curve Histogram Segmentation 


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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.School of Mathematics and Computer ApplicationsThapar UniversityPatialaIndia
  2. 2.Department of Computer Science and EngineeringTezpur UniversityTezpurIndia

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