pixtra 0.2.5

Pixtra aims to be a very simple and easy-to-use image manipulation tool by being opionated and contain a lot of examples
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229

use pixtra::canvas::{Canvas, Island};
use pixtra::pixels::{Pixel, PixelBuilder};
use pixtra::utility::{to_grey_lumiosity, count_colors, counted_colors_to_html};
use std::path::Path;

fn gaussian_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    // NOTE: The kernel needs to sum to 1.0. Below 1.0 your image will appear darker
    // and above 1.0 it will appear lighter.
    let kernel = vec![0.06, 0.13, 0.06, 0.13, 0.24, 0.13, 0.06, 0.13, 0.06];
    let coords = vec![
        (-1, -1),
        (0, -1),
        (1, -1),
        (-1, 0),
        (0, 0),
        (1, 0),
        (-1, 1),
        (0, 1),
        (1, 1),
    ];
    // For simplicity, we will leave out the edges of the picture.
    let canvas_size = canvas.dimensions();
    if x > 0 && y > 0 && x < canvas_size.width - 1 && y < canvas_size.height - 1 {
        let pixel = apply_filter(canvas, (x, y), &kernel, &coords);
        return pixel;
    }
    canvas.get_pixel(x, y)
}

fn lap_of_gaussian_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    // NOTE: The kernel needs to sum to 1.0. Below 1.0 your image will appear darker
    // and above 1.0 it will appear lighter.
    let kernel = vec![
        0, 1, 1, 2, 2, 2, 1, 1, 0,
        1, 2, 4, 5, 5, 5, 4, 2, 1,
        1, 4, 5, 3, 0, 3, 5, 4, 1,
        2, 5, 3, -12, -24, -12, 3, 5, 2,
        2, 5, 0, -24, -40, -24, 0, 5, 2,
        2, 5, 3, -12, -24, -12, 3, 5, 2,
        1, 4, 5, 3, 0, 3, 5, 4, 1,
        1, 2, 4, 5, 5, 5, 4, 2, 1,
        0, 1, 1, 2, 2, 2, 1, 1, 0];
    let kernel = kernel.iter().map(|&x| x as f32).collect();
    let mut coords = vec![];
    for y in -4..5 {
        for x in -4..5 {
            coords.push((x, y));
        }
    }
    // For simplicity, we will leave out the edges of the picture.
    let canvas_size = canvas.dimensions();
    if x > 3 && y > 3 && x < canvas_size.width - 4 && y < canvas_size.height - 4 {
        let pixel = apply_filter(canvas, (x, y), &kernel, &coords);
        return pixel;
    }
    canvas.get_pixel(x, y)
}

fn grey_scale_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    to_grey_lumiosity(&canvas.get_pixel(x, y))
}

fn black_or_white_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    let pixel = canvas.get_pixel(x, y);
    if pixel.r < 128 {
        Pixel::new(0, 0, 0, 255)
    } else {
        Pixel::new(255, 255, 255, 255)
    }
}



fn apply_filter(
    canvas: &Canvas,
    center: (u32, u32),
    kernel: &Vec<f32>,
    coords: &Vec<(i32, i32)>,
) -> Pixel {
    let scales = kernel
        .iter()
        .zip(coords.iter())
        .fold(Pixel::builder(), |acc, (scale, (x, y))| {
            let pixel =
                canvas.get_pixel((center.0 as i32 + *x) as u32, (center.1 as i32 + *y) as u32);
            acc + PixelBuilder::from(
                pixel.r as f32 * scale,
                pixel.g as f32 * scale,
                pixel.b as f32 * scale,
                pixel.a as f32,
            )
        });
    scales.build()
}

fn lap_edge_detection_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    // NOTE: The kernel (this vector) needs to sum to 1.0. Below 1.0 your image will appear darker
    // and above 1.0 it will appear lighter.
    let kernel = vec![0.5, 1.0, 0.5, 1.0, -6.0, 1.0, 0.5, 1.0, 0.5];
    let coords = vec![
        (-1, -1),
        (0, -1),
        (1, -1),
        (-1, 0),
        (0, 0),
        (1, 0),
        (-1, 1),
        (0, 1),
        (1, 1),
    ];
    // For simplicity, we will leave out the edges of the picture.
    let canvas_size = canvas.dimensions();
    if x > 0 && y > 0 && x < canvas_size.width - 1 && y < canvas_size.height - 1 {
        let pixel = apply_filter(canvas, (x, y), &kernel, &coords);
        return pixel;
    }
    canvas.get_pixel(x, y)
}

fn prewitt_edge_detection_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    let kernel_one: Vec<f32> = vec![1f32, 0f32, -1f32, 1f32, 0f32, -1f32, 1f32, 0f32, -1f32];
    let kernel_two: Vec<f32> = vec![1f32, 1f32, 1f32, 0f32, 0f32, 0f32, -1f32, -1f32, -1f32];
    let coords = vec![
        (-1, -1),
        (0, -1),
        (1, -1),
        (-1, 0),
        (0, 0),
        (1, 0),
        (-1, 1),
        (0, 1),
        (1, 1),
    ];

    let canvas_size = canvas.dimensions();
    if x > 0 && y > 0 && x < canvas_size.width - 1 && y < canvas_size.height - 1 {
        let pixel_one = apply_filter(canvas, (x, y), &kernel_one, &coords);
        let pixel_two = apply_filter(canvas, (x, y), &kernel_two, &coords);

        let pixel = PixelBuilder::from(
            ((pixel_one.r as u32 * pixel_one.r as u32 + pixel_two.r as u32 * pixel_two.r as u32)
                as f64)
                .sqrt() as f32,
            ((pixel_one.g as u32 * pixel_one.g as u32 + pixel_two.g as u32 * pixel_two.g as u32)
                as f64)
                .sqrt() as f32,
            ((pixel_one.b as u32 * pixel_one.b as u32 + pixel_two.b as u32 * pixel_two.b as u32)
                as f64)
                .sqrt() as f32,
            255f32,
        );
        return pixel.build();
    }
    canvas.get_pixel(x, y)
}

fn inverse(pixel: Pixel) -> Pixel {
    Pixel {
        r: u8::max_value() - pixel.r,
        g: u8::max_value() - pixel.g,
        b: u8::max_value() - pixel.b,
        a: pixel.a,
    }
}

fn inverse_filter(canvas: &Canvas, x: u32, y: u32) -> Pixel {
    inverse(canvas.get_pixel(x, y))
}

fn main() {
    // Gaussian blur
    let canvas = Canvas::load(Path::new("assets/lena.png")).unwrap();
    let test_image = Canvas::load(Path::new("assets/IMG_0771.JPG")).unwrap();
    let gaussian_canvas = canvas.filter(gaussian_filter);
    let _ = gaussian_canvas
        .save(Path::new("gaussian_canvas.png"))
        .unwrap();
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let gaussian_canvas = gaussian_canvas.filter(gaussian_filter);
    let _ = gaussian_canvas
        .save(Path::new("very_gaussian_canvas.png"))
        .unwrap();

    // Chaining filters
    let inverse_gaussian_canvas = canvas.filter(inverse_filter).filter(gaussian_filter);
    let _ = inverse_gaussian_canvas
        .save(Path::new("inverse_gaussian_canvas.png"))
        .unwrap();

    let lap_edge_detection_canvas = canvas.filter(lap_edge_detection_filter);
    let _ = lap_edge_detection_canvas
        .save(Path::new("lap_edge_detection_filter.png"))
        .unwrap();

    let prewitt_edge_detection_canvas = canvas.filter(prewitt_edge_detection_filter);
    let _ = prewitt_edge_detection_canvas
        .save(Path::new("prewitt_edge_detection_filter.png"))
        .unwrap();

    let lap_of_gaussian_filter_canvas = test_image.filter(grey_scale_filter).filter(lap_of_gaussian_filter);
    //let counted_colors = count_colors(&lap_of_gaussian_filter_canvas);
    //println!("{}", counted_colors_to_html(&counted_colors));
    let _ = lap_of_gaussian_filter_canvas
        .save(Path::new("lap_of_gaussian_edge_detection_filter.png"))
        .unwrap();
    let filtered_canvas = lap_of_gaussian_filter_canvas.filter(black_or_white_filter);
    let _ = filtered_canvas
        .save(Path::new("filtered_canvas.png"))
        .unwrap();

    let islands = filtered_canvas.find_islands(&Pixel::new(255, 255, 255, 255));
    let islands_with_size: Vec<Island> = islands.iter().filter(|x| x.points.len() > 40000).map(|x| x.clone()).collect();
    // TODO: Now we have the outline of the islands. 
    // Copy the islands a blank canvas.
    // Fill from the outside
    // Now you have the entire form of all the islands
    // Transfer the pixels that were not filled from the outside
    //
    //
    // TODO: NEW IDEA AS WELL: Create a 'fattener'. Paints a 2x2, 3x3, 4x4, ... etc around each
    // pixel. This way you can expand outwards





}