Emphasis on important aspects of image
processing technique along with review of the most
recent developments throughout the food industry was
already reported [1]. Another review of recent work
reported on food and agricultural products along with in
depth introduction to machine vision system and its
components was also available [2]. Different techniques
for apple processing were studied and features such as
hue angle, shape defect, circumference, firmness,
weight, blush percentage, russet, bruise content and
number of natural defects were defined [3].Reviews in
the progress of computer vision in the agricultural and
food industry was done and areas for further research
and wider application of the technique were identified
[4]. Correlation and regression analysis was performed
in order to determine the relationships among fruit
quality parameters [5]. Image analysis was done to
distinguish Arthur from Arkan based upon different
parameters namely perimeter, area, length, feret
diameter but proper positioning of kernels was