Segmenting the Colored X-ray Images

N. Ravia Shabnam Parveen1,3 and M. Mohammed Sathik2

1Research and Development Centre, Bharathiar University, Coimbatore.

2Department of Computer Science, Sadakathullah Appa College, Tirunelveli - India.

3MCA Department, K.L.N.College of Engineering, Pottapalayam, Madurai, India


X-ray images are taken for diagnosis in the fractured area. But sometimes these images lack sufficient details needed to diagnose. So these images can be enhanced by adding the color map. To add the RGB color to the Destination image, the reference image ‘mood’ color is taken. Although adding color to the gray scale has no much impact, but the human labor is much reduced. After adding color to the original image, it adds up details to the target image. In the second part of this paper, threshold method is used to extract the details of a Colored X-Ray Image. This method is the simplest segmentation process and it deals the majority of the Sobel edge detector. After segmenting, the edges of the image are taken for feature extraction. This yields more details than the original image.

Keywords: Color map, RGB color model, Segmentation, Threshold, Gray scale images, Sobel edge operator.

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