Second order Statistical Texture Features from a New CSLBPGLCM for Ultrasound Kidney Images Retrieval

Authors

  • Chelladurai CALLINS CHRISTIYANA Sethu Institute of Technology, Pulloor, Kariapatti-626115, Virdhunagar district, Tamil nadu, India
  • Vayana Perumal RAJAMANI Indra Ganesan College of Engineering, Trichy, Tamil Nadu, India.

Keywords:

CBIR, Texture, Second order statistics, GLCM, CSLBPGLCM, ultrasound kidney images, Recall, Precision

Abstract

This work proposes a new method called Center Symmetric Local Binary Pattern Grey Level Co-occurrence Matrix (CSLBPGLCM) for the purpose of extracting second order statistical texture features in ultrasound kidney images. These features are then feed into ultrasound kidney images retrieval system for the point of medical applications. This new GLCM matrix combines the benefit of CSLBP and conventional GLCM. The main intention of this CSLBPGLCM is to reduce the number of grey levels in an image by not simply accumulating the grey levels but incorporating another statistical texture feature in it. The proposed approach is cautiously evaluated in ultrasound kidney images retrieval system and has been compared with conventional GLCM. It is experimentally proved that the proposed method increases the retrieval efficiency, accuracy and reduces the time complexity of ultrasound kidney images retrieval system by means of second order statistical texture features.

 

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Published

2013-12-17

How to Cite

1.
CALLINS CHRISTIYANA C, RAJAMANI VP. Second order Statistical Texture Features from a New CSLBPGLCM for Ultrasound Kidney Images Retrieval. Appl Med Inform [Internet]. 2013 Dec. 17 [cited 2023 Dec. 1];33(4):32-9. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/440

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Articles