Image processing method and computer program

摘要

To assign angle-dependent information to an input image in order to highlight and display one-dimensional patterns. First, data of an input image is inputted to a computer (Sa1). An arbitrarily defined constant m is then inputted as a contrast intensity (Sa2). Next, a closed region (x, y) made up of a plurality of pixels in the input image is demarcated as a target region D, degrees of inclination between respective two pixels, namely, a pixel of interest in the target region D and arbitrarily defined neighboring pixels thereof, are summed over a whole circumference around the pixel of interest, and the sum is divided by the number of pixels within the target region to calculate a mean value thereof (Sa3). Furthermore, an amplitude value β of a gradient obtained in step (Sa3) is multiplied by the contrast intensity m (where m is a positive constant) inputted in step (Sa2) and an arbitrarily defined offset value γ is added to the obtained value (Sa4) to obtain a final output image (Sa5).

主权项

1. An image processing method for adjusting a size of an image signal of each pixel included in an input image by a computer according to a predetermined purpose, the image processing method comprising the steps of:
(Sa1) inputting data of an input image into a computer; (Sa2) inputting an arbitrarily defined constant m as a contrast intensity; (Sa3) demarcating a closed region made up of a plurality of pixels in the input image as a target region D, summing degrees of inclination between respective two pixels, namely, a pixel of interest in the target region D and arbitrarily defined neighboring pixels thereof, over a whole circumference around the pixel of interest, and dividing the sum by the number of pixels within the target region to calculate a mean value thereof, wherein the mean value is an amplitude β of a gradient; and (Sa4) multiplying the amplitude value β of a gradient obtained in step (Sa3) by the contrast intensity m (where m is a positive constant) inputted in step (Sa2) and adding an arbitrarily defined offset value γ to the obtained value, whereinβ=1N⁢∑i=-kk⁢⁢∑j=-kk⁢⁢(x(i=0,j=0)-x(i,j)) i is an index corresponding to a first spatial dimension, j is an index corresponding to a second spatial dimension, k is an arbitrarily defined boundary constant greater than or equal to one, x(i, j) corresponds to the pixels of the target region D, target region D is bounded in one corner by a pixel corresponding to x(i=−k, j=−k) and in another corner by a pixel corresponding to x(i=k, j=k), N is the number of pixels in the target region D, x(j=0, j=0) corresponds to the pixel of interest in the target region D, and x(i≠0, j≠0) corresponds to the arbitrarily defined neighboring pixels of target region D; the method further including repeating (Sa3) and (Sa4) with respect to a new target region D and new pixel of interest in the new target region D.