1.
K. Vikram
2.
Niraj Upashyaya
3.
Kavuri Roshan
4.
A. Govardhan
Abstract
This paper presents a novel algorithm for the image edge
detection using the fuzzy logic approach is proposed. Each
different edge detection method has its own advantages
and disadvantages. For example each method detects part
of real edges and also some unreal edges. The
contemporary Fuzzy logic, a key concept of artificial
intelligence helps to implement the fuzzy relative pixel
value algorithms and helps to find and highlight all the
edges associated with an image by checking the relative
pixel values and thus provides an algorithm to abridge the
concepts of digital image processing and artificial
intelligence. A set of fuzzy conditions for the comparison of
pixel values with adjacent pixels to check the pixel
magnitude gradient in the window. After the testing of
fuzzy conditions the appropriate values are allocated to the
pixels in the window under testing to provide an image
highlighted with all the associated edges. The results of the
proposed edge detection algorithm were compared with
other techniques and it is found that the image obtained
using the proposed approach is qualitatively the best.
