In many systems of computer vision, image segmentation plays a vital role. To locate objects and boundaries in images,
image segmentation is used. The quality of segmentation of the image determines the performance of recognition algorithms and
there is no universal segmentation algorithm available till date. In medical imaging applications, boundary detection has been
renowned as one of the intricate problems in image processing and pattern analysis, in particular. The problem is complex
because of other information corrupting the lucidity of the image. Design of segmentation algorithms for Medical images is an
active research area and segmentation algorithms are designed to account for noise, intensity inhomogeneity, low contrast
between the lesion and the surrounding skin etc. The proposed system on segmenting medical images using the level set
segmentation in python 3.7 using the Pycharm windows interpreter. The results shows that the efficient segmentation of the
background and foreground pixels
