Medical Image Segmentation using Modified Morphological Reconstruction
A. Nithya, R. Kayalvizhi · International Journal of Computer Applications · 2014
The objective of this research is to improve the accuracy of object segmentation in medical images by constructing an object segmentation algorithm.Image segmentation is a crucial step in the field of image processing and pattern recognition.Segmentation allows the identification of structures in an image which can be utilized for further processing.Both region-based and object-based segmentation are utilized in a robust and principled manner.Gradient based MultiScalE Graylevel mOrphological recoNstructions (G-SEGON) is used for segmenting an image.SEGON roughly identifies the background and object regions in the image.The proposed method takes advantage of segmentation of both gray scale image and color image.