Segmentation of Magnetic Resonance Images using K-means

Segmentation of images holds an important position in the area of image processing. It becomes more important while typically dealing with medical images where pre-surgery and post surgery decisions are required for the purpose of initiating and speeding up the recovery process Computer aided detection of abnormal growth of tissues is primarily motivated by the necessity of achieving maximum possible accuracy. Manual segmentation of these abnormal tissues cannot be compared with modern day’s high speed computing machines which enable us to visually observe the volume and location of unwanted tissues. This paper describes efficient methods for automatic segmentation of magmatic resonance MR images. ةصلاخلا ةئزجتل روصلا رود مھم يف عوضوم ةجلاعملا ةیروصلا . حبصأ مویلا نم مھملا لماعتلا عم روصلا ةیبطلا لبق دعبو تایلمعلا ةیحارجلا دیدحتل ببسملا ضرملل ةعرسو ءافشلا لوصحللو ىلع ةقدلا ةبولطملا بلطت دوجو تاقبطت دمتعت ىلع مادختسا بوساحلا يھاضت بولسلاا يدیلقتلا تل دیدح مجح عقومو ةجسنا ةنیعم . نمضتی ذھ ثحبلا فصو نیتقیرطل نتیسیئر يف ةئزجتلا روصل نینرلا يسیطانغملا عم دیدحت ةقیرطلا لضفلاا نم ةیحان نمزلا ةیناكماو لزعلا ةجسنلال.