# An Introduction to Digital Image Processing with MATLAB by Alasdair McAndrew

By Alasdair McAndrew

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Additional resources for An Introduction to Digital Image Processing with MATLAB (draft)

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To apply histogram stretching, we would need to stretch out the values between grey levels 9 and 13. 9. 22. The dashed line is simply joining the top of the histogram bars. However, it can be interpreted as an appropriate histogram 52 CHAPTER 2. 4. LOOKUP TABLES 53 ✒ ✥ ✏ ✜ stretching function. To do this, we need to scale the values so that they are between and , ✪ ✥ ✥ rather than and . 2. As we have seen, none of the example histograms, after equalization, are uniform. This is a result ✁ of the discrete nature of the image.

2. ARITHMETIC OPERATIONS 39 The point of the second command was to find the numeric data type of b; it is uint8. The unit8 data type is used for data storage only; we can’t perform arithmetic operations. If we try, we just get an error message: >> b1=b+128 ??? Error using ==> + Function ’+’ not defined for variables of class ’uint8’. We can get round this in two ways. 3. 4 shows some examples of functions which will have these effects. To implement these functions, we use the immultiply function.

We have seen examples of this above with scaling. Corresponding to the functions double and im2double are the functions uint8 and im2uint8. If we take our image cd of type double, properly scaled so that all elements are between 0 and 1, we can convert it back to an image of type uint8 in two ways: >> c2=uint8(255*cd); >> c3=im2uint8(cd); Use of im2uint8 is to be preferred; it takes other data types as input, and always returns a correct result. Binary images Recall that a binary image will have only two values: 0 and 1.