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author | Sudipto Mallick <smlckz@termux-alpine> | 2024-02-10 12:49:55 +0000 |
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committer | Sudipto Mallick <smlckz@termux-alpine> | 2024-02-10 12:49:55 +0000 |
commit | 4182a108a01df3aa28009716472f0ef291704866 (patch) | |
tree | 8fabeb2d6ddff80b930c02b3d535b5447bbd41dc /opencv/body.typ | |
parent | 02884d29e4f5aea71364a203dcaecd53600d8aa4 (diff) | |
download | zadania-main.tar.gz |
Complete DIP assignments main
Diffstat (limited to 'opencv/body.typ')
-rw-r--r-- | opencv/body.typ | 308 |
1 files changed, 308 insertions, 0 deletions
diff --git a/opencv/body.typ b/opencv/body.typ new file mode 100644 index 0000000..8d78290 --- /dev/null +++ b/opencv/body.typ @@ -0,0 +1,308 @@ +#import "/tpl.typ": * +#show: A => apply(A) +#set raw(lang: "py") +#set par(leading: 0.6em) +#set figure.caption(position: top) +#set figure(supplement: none, numbering: none) + +#assignment(1)[ + Write a program to do image format conversion i.e., from RGB to gray, gray to binary, RGB to binary, RGB to HSV, HSV to RGB, RGB to YCbCr and YCbCr to RGB. +] + +#scos(1)[ + #{ + let list-of-images = (image("/images/1i.png", width: 80%), ) + for i in range(1, 8) { + list-of-images.push(image("/images/1." + str(i) + ".png", width: 80%)) + } + let captions = ("Original Image", [RGB #sym.arrow.r Gray], [Gray #sym.arrow.r Binary], [RGB #sym.arrow.r Binary], [RGB #sym.arrow.r HSV], [HSV #sym.arrow.r RGB], [RGB #sym.arrow.r YCbCr], [YCbCr #sym.arrow.r RGB]) + let figures = () + for i in range(list-of-images.len()) { + figures.push(figure(caption: captions.at(i), list-of-images.at(i))) + } + grid( + columns: 2, + gutter: 1em, + ..figures + ) + } +] + +#signature() +#colbreak() + +#assignment(2)[ + Write a program to read an image and rotate that image in clockwise and anti-clockwise direction, and display it. +] + +#scos(2)[ + #figure(caption: [Original image], image("/images/1i.png", width: 50%)) + #figure(caption: [Rotated 60#sym.degree anti-clockwise], image("/images/2.(60.0).png", width: 50%)) + #figure(caption: [Rotated 45#sym.degree clockwise], image("/images/2.(-45.0).png", width: 60%)) +] + +#signature() +#colbreak() + +#assignment(3)[ + Write a program to find the histogram of a gray image and display the histogram. +] + +#scos(3)[ + #image("/images/3.svg") +] + +#signature() +#colbreak() + +#assignment(4)[ + Write a program to perform color separation into R, G, and B from an color image. +] + +#scos(4)[ + #{ + let filenames = ("4i", "4.r", "4.g", "4.b") + let list-of-images = () + for i in range(filenames.len()) { + list-of-images.push(image("/images/" + filenames.at(i) + ".jpg", width: 80%)) + } + let captions = ("Original Image", "Red Channel", "Green Channel", "Blue Channel") + let figures = () + for i in range(list-of-images.len()) { + figures.push(figure(caption: captions.at(i), list-of-images.at(i))) + } + grid( + columns: 2, + gutter: 1em, + ..figures + ) + } +] + +#signature() +#colbreak() + +#assignment(5)[ + Write a program to enhance the image in spatial domain using + + Image negative + + Log transformation + + Power law transform + + Piecewise linear transform +] + +#scos(5)[ + #{ + let filenames = ("negative", "log", "power_law", "piecewise") + let list-of-images = () + for i in range(filenames.len()) { + list-of-images.push(image("/images/5." + filenames.at(i) + ".jpg", width: 100%)) + } + let captions = ("Image negative", "Log transformation", "Power law transform", "Piecewise linear transform") + let figures = () + for i in range(list-of-images.len()) { + figures.push(figure(caption: captions.at(i), list-of-images.at(i))) + } + grid( + columns: 2, + gutter: 1em, + ..figures + ) + } +] + +#signature() +#colbreak() + +#assignment(6)[ + Write a program to enhance the image in spatial domain using histogram equalization method. +] + +#scos(6)[ + #image("/images/6.svg") +] + +#signature() +#colbreak() + +#assignment(7)[ + Write a program to perform the following image enhancement methods: + + Brightness enhancement + + Brightness suppression + + Contrast manipulation + + Gray level slicing without background +] + +#scos(7)[ + #{ + let filenames = ("a", "b", "c", "d") + let list-of-images = () + for i in range(filenames.len()) { + list-of-images.push(image("/images/7." + filenames.at(i) + ".jpg", width: 70%)) + } + let captions = ( + "Brightness enhancement", + "Brightness suppression", + "Contrast manipulation", + "Gray level slicing without background" + ) + let figures = () + for i in range(list-of-images.len()) { + figures.push(figure(caption: captions.at(i), list-of-images.at(i))) + } + grid( + columns: 2, + gutter: 1em, + ..figures + ) + } +] + +#signature() +#colbreak() + +#assignment(8)[ + Write a program to average two images together into a single image. +] + +#scos(8)[ + #{ + let filenames = ("9i1", "9i2", "8o") + let list-of-images = () + for i in range(filenames.len()) { + list-of-images.push(image("/images/" + filenames.at(i) + ".jpg", width: 70%)) + } + let captions = ( + "Image 1", + "Image 2", + "Average" + ) + let figures = () + for i in range(list-of-images.len()) { + figures.push(figure(caption: captions.at(i), list-of-images.at(i))) + } + grid( + columns: 2, + gutter: 1em, + ..figures + ) + } +] + +#signature() +#colbreak() + +#assignment(9)[ + Write a program to compare two images using image subtraction. +] + +#scos(9)[ + #{ + let filenames = ("9i1", "9i2", "9o") + let list-of-images = () + for i in range(filenames.len()) { + list-of-images.push(image("/images/" + filenames.at(i) + ".jpg", width: 70%)) + } + let captions = ( + "Image 1", + "Image 2", + "Difference" + ) + let figures = () + for i in range(list-of-images.len()) { + figures.push(figure(caption: captions.at(i), list-of-images.at(i))) + } + grid( + columns: 2, + gutter: 1em, + ..figures + ) + } +] + +#signature() +#colbreak() + +#assignment(10)[ + Write a program to perform the following image arithmetic. + + Image addition + + Image subtraction + + Image multiplication + + Image division +] + +#scos(10, cont: true)[ + #image("/images/10.svg") +] + +#signature() +#colbreak() + +#assignment(11)[ + Write a program to add various types of noise (salt and pepper noise, Gaussian noise) to an image. +] + +#scos(11, cont: true)[ + #image("/images/11.svg") +] + +#signature() +#colbreak() + +#assignment(12)[ + Write a program to enhance an image using mean filtering, weighted average filtering, median filtering, max/min filtering. +] + +#scos(12, cont: true)[ + #image("/images/12.svg") +] + +#signature() +#colbreak() + +#assignment(13)[ + Write a program to segment an image using thresolding technique. +] + +#scos(13)[ + #{ + let filenames = ("1igr.png", "13.1.jpg", "13.2.jpg", "13.3.jpg") + let list-of-images = () + for i in range(filenames.len()) { + list-of-images.push(image("/images/" + filenames.at(i), width: 70%)) + } + let captions = ( + "Original Image", + "Segment 1", + "Segment 2", + "Segment 3", + ) + let figures = () + for i in range(list-of-images.len()) { + figures.push(figure(caption: captions.at(i), list-of-images.at(i))) + } + grid( + columns: 2, + gutter: 1em, + ..figures + ) + } +] + +#signature() +#colbreak() + +#assignment(14)[ + Write a program to find the edge of a given image with the following operators. + + Difference operator + + Robert operator + + Prewitt operator + + Sobel operator +] + +#scos(14)[ + #image("/images/14.svg") +] + +#signature() + + |