Medical Image Segmentation using Modified Morphological Reconstruction

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