What is meant by image subtaction? Discuss various areas of application of image subtraction.

1 day ago

Image Subtraction:

The difference between two images f(x, y) and h(x, y), expressed as

is obtained by computing the difference between all pairs of corresponding pixels from f and h. The key usefulness of subtraction is the enhancement of differences between images. The higher- order bit planes of an image carry a significant amount of visually relevant detail, while the lower planes contributemore to fine (often imperceptible) detail. Figure 7(a) shows the fractal image used earlier to illustrate the concept of bit planes. Figure 7(b) shows the result of discarding (setting to zero) the four least significant bit planes of the original image.The images are nearly identical visually, with the exception of a very slight drop in overall contrast due to less variability of the graylevel values in the image of Fig. 7(b).The pixel-by-pixel difference between these two images is shown in Fig. 7(c).The differences in pixel values are so small that the difference image appears nearly black when displayed on an 8-bit display. In order to bring out more detail,we can perform a contrast stretching transformation. We chose histogram equalization, but an appropriate power-law transformation would have done the job also. The result is shown in Fig. 7(d). This is a very useful image for evaluating the effect of setting to zero the lower-order planes.

Fig.7 (a) Original fractal image (b) Result of setting the four lower-order bit planes to zero(c) Difference between (a) and(b) (d) Histogram equalized difference image.

One of the most commercially successful and beneficial uses of image subtraction is in the area of medical imaging called mask mode radiography. In this case h(x, y), the mask, is an X-ray image of a region of a patient’s body captured by an intensified TV camera (instead of traditional X-ray film) located opposite an X-ray source.The procedure consists of injecting a contrast medium into the patient’s bloodstream, taking a series of images of the same anatomical region as h(x, y), and subtracting this mask from the series of incoming images after injection of the contrast medium. The net effect of subtracting the mask from each sample in the incoming stream of TV images is that the areas that are different between f(x, y) and h(x, y) appear in the output image as enhanced detail. Because images can be captured at TV rates, this procedure in essence gives a movie showing how the contrast medium propagates through the various arteries in the area being observed.

 

Raju Singhaniya
Oct 15, 2021
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