期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2016
卷号：7
期号：1
页码：21
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Automatic image segmentation becomes very crucial for tumor detection in medical image processing.Manual and semi automatic segmentation techniques require more time and knowledge. However thesedrawbacks had overcome by automatic segmentation still there needs to develop more appropriatetechniques for medical image segmentation. Therefore, we proposed hybrid approach based imagesegmentation using the combined features of region growing and threshold segmentation technique. It isfollowed by pre-processing stage to provide an accurate brain tumor extraction by the help of MagneticResonance Imaging (MRI). If the tumor has holes in it, the region growing segmentation algorithm can’treveal but the proposed hybrid segmentation technique can be achieved and the result as well improved.Hence the result used to made assessment with the various performance measures as DICE, Jaccardsimilarity, accuracy, sensitivity and specificity. These similarity measures have been extensively used forevaluation with the ground truth of each processed image and its results are compared and analyzed.
关键词：Image segmentation; Hybrid segmentation; Region growing Segmentation; Threshold segmentation;Performance Measures.
