Simple, XOR based, Image Edge Detection Study on Black and White / Grayscale Synthetic Images
Ion Sima · 2013
In this paper a simple, XOR based, approach to image edge detection is proposed, hereafter referred to as SXOR. From the well known fact that, generally, in plain-images, any arbitrarily chosen pixels are strongly correlated with their adjacent ones (regardless of spatial orientation, i.e. either if they are diagonally, vertically or horizontally oriented); the bitwise XOR logical operator is applied between all pixels, on image's successive pairs of rows and columns; thus, featuring existing differences (i.e. in between the pairs) and implicitly, all edges within the image. Conducted experimental results demonstrate the validity of the proposed approach (e.g. it reduces the amount of data and filters out useless information, while preserving the most important structural properties of the image) and its effectiveness, relative to several other operators.