  To design a novel method for segmenting the image using Cubic Spline
Interpolation and compare it with different techniques to determine which gives
an efficient data to segment an image. This paper compares polynomial least
square interpolation and the conventional Otsu thresholding with spline
interpolation technique for image segmentation. The threshold value is
determined using the above-mentioned techniques which are then used to segment
an image into the binary image. The results of the proposed technique are also
compared with the conventional algorithms after applying image equalizations.
The better technique is determined based on the deviation and mean square error
when compared with an accurately segmented image. The image with least amount
of deviation and mean square error is declared as the better technique.
