====== Lab 07: Matrices ====== ===== 7.1. ===== In the first part of this lab, we will work with matrices of integers: type Matrix = List[List[Int]] You can use **higher-order functions** of **for expressions** at your leisure. **7.1.1.** Write a function which computes the **sum** of all elements from a matrix. **7.1.2.** Write a function which computes the **scalar** multiplication of a matrix: def scalarMult(const: Int, m: Matrix): Matrix = ??? **7.1.3.** Write a function which adds two matrices. Use the function ''zip'' from the Scala standard library. Use the following test to figure out what ''zip'' does: ''List(1,2,3).zip(List(4,5,6))''. def add(m1: Matrix, m2: Matrix): Matrix = ??? **7.1.4.** Write a function which returns the first **column** of a matrix, as a single line: def singleLine(m: Matrix): List[Int] = ??? **7.1.5.** Write a function which returns the **rest** of a matrix, **without** its **first** column: def remCol(m: Matrix): Matrix = ??? **7.1.6.** Write a function which performs matrix **transposition**. Use wikipedia if necessary to reacquaint yourself with transposition. def transpose(m: Matrix): Matrix = ??? **7.1.7.** (!) Implement multiplication of two matrices. Think about the sequence of steps you want to perform. Transposition will be your first step. def mult(m1: Matrix, m2: Matrix): Matrix = ??? ===== 7.2. Matrices as images ===== The format called BPM (more details are available [[https://en.wikipedia.org/wiki/Netpbm#File_formats|here]]) encodes images as matrices of ''Int'', where each integer value designates the **intensity** of each pixel (from 0 to 255). In this lab, we will consider grayscale images only. Some examples are shown below: 0 0 1 0 0 0 1 0 1 0 0 1 1 1 0 letter A 1 0 0 0 1 1 0 0 0 1 5 4 3 2 1 5 4 3 2 1 5 4 3 2 1 shader 5 4 3 2 1 5 4 3 2 1 Add the following type definition for the rest of your lab: type Img = List[List[Int]] Also, in order to benefit from visualisation, instead of using a worksheet, you can create a new Scala project, containing an object with a main method: object Matrix extends App{ // define your functions here // write your test code here } **7.2.1.** Write a function which converts an image to a string (Hint: you can draw inspiration from a similar one from the lecture): def show(m: Img): String = ??? **7.2.2.** Write a function which performs a horizontal flip on an image. Try to first visualise (you may use pen and paper) how the transformation would look like. def hFlip(img: Img): Img = ??? **7.2.3.** Write a function which performs vertical flip. def vFlip(img: Img): Img = ??? **7.2.4.** Write a function which performs a 90 degrees rotation to the right. (Hint: you need an ingredient from the previous section. Also, note that there are multiple possible implementations.) def rot90Right(img: Img): Img = ??? **7.2.5.** Write a function which performs a 90 degrees rotation to the left. def rot90Left(img: Img): Img = ??? **7.2.6.** Write a function which inverts an image (values 0 become 255, 1 - 254, and so forth). **7.2.7.** Write a function which crops a given image, using two, two-dimensional coordinates: the higher-left point x and y, and the lower-right point x and y. An example is shown below: val img = List(List(0,0,1,0,0), List(0,1,0,1,0), List(0,1,1,1,0), List(1,0,0,0,1), List(1,0,0,0,1)) /* 0 0 1 0 0 * 0 1 0 1 0 1 0 1 * 0 1 1 1 0 cropping from 1,1 to 2,3 yields: 1 1 1 * 1 0 0 0 1 * 1 0 0 0 1 */ def cropAt(img: Img, xSt:Int, ySt:Int, xEnd: Int, yEnd: Int): Img = ?? **7.2.8.** Write a function which returns a list of all positions which have pixels of larger intensity than x def largerPos(img: Img, int: Int): List[(Int,Int)] = ??? **7.2.9.** Write a function which adds ''x'' to the intensity of each pixel. def contrast(x: Int)(img: Img): Img = ??? **7.2.10.** Write a function which takes two images ''X'' and ''Y'' and //glues// them on the horizontal axis (the resulting image will be ''XY'') def hglue(img1: Img, img2: Img): Img = ??? **7.2.11.** Write a function which takes two images ''X'' and ''Y'' and //glues// them on the vertical axis: def vglue(img1: Img, img2: Img): Img = ??? **7.2.12.** Define a function that takes a **square** image, and draws two diagonal lines of intensity 1 across it. Use ''_.until(_)'' and ''_.toList''. def diag(img: Img): Img = ???