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//! Determine local directionality in an image.
use super::{Image, ImageCrop, ImageHistogram, Histogram, ImageRotate90, ImageTrim};
#[allow(dead_code)]
#[derive(Debug, Clone, PartialEq, Eq)]
enum Classification {
TrueStrong,
TrueWeak,
TrueWeakStripeDot,
TrueWeakStripeHole,
FalseIsRepeatedRow,
False,
}
#[allow(dead_code)]
struct AnalyzeDirection {
direction_horizontal: Image,
direction_vertical: Image,
}
impl AnalyzeDirection {
#[allow(dead_code)]
fn analyze(image: &Image) -> anyhow::Result<Self> {
let direction_horizontal: Image = Self::process(image)?;
let image_rotated: Image = image.rotate_cw()?;
let direction_image: Image = Self::process(&image_rotated)?;
let direction_vertical: Image = direction_image.rotate_ccw()?;
let instance = Self {
direction_horizontal,
direction_vertical,
};
Ok(instance)
}
fn process(image: &Image) -> anyhow::Result<Image> {
let mut direction_horizontal: Image = image.clone_zero();
let outside_color: u8 = 255;
for y in 0..image.height() {
for x in 0..image.width() {
let area: Image = image.crop_outside((x as i32) - 3, (y as i32) - 2, 7, 5, outside_color)?;
// if x == 2 && y == 0 {
// HtmlLog::image(&area);
// }
let is_row: Classification = Self::classify_row(&area)?;
let set_value: u8 = match is_row {
Classification::TrueStrong => 1,
Classification::TrueWeak => 1,
Classification::TrueWeakStripeDot => 1,
Classification::TrueWeakStripeHole => 1,
Classification::FalseIsRepeatedRow => 0,
Classification::False => 0,
};
_ = direction_horizontal.set(x as i32, y as i32, set_value);
}
}
Ok(direction_horizontal)
}
fn classify_row(image: &Image) -> anyhow::Result<Classification> {
let center_minus1: u8 = image.get(2, 2).unwrap_or(255);
let center: u8 = image.get(3, 2).unwrap_or(255);
let center_plus1: u8 = image.get(4, 2).unwrap_or(255);
// The center row, histogram for the left side, and the right side.
let mut histogram_left = Histogram::new();
let mut histogram_right = Histogram::new();
for i in 1..=3 {
histogram_left.increment_pixel(image, 3 - i, 2);
histogram_right.increment_pixel(image, 3 + i, 2);
}
let histograms: Vec<Histogram> = image.histogram_rows();
assert!(histograms.len() == 5, "there are supposed to be 5 rows in the image and thus 5 histograms");
// Compare the histograms the with the center row.
let histogram_center: &Histogram = &histograms[2];
let mut all_same_histograms: bool = true;
for (index, histogram) in histograms.iter().enumerate() {
if index == 2 {
// don't compare center row with itself
continue;
}
if histogram.get(255) == 7 {
// skip rows that are outside the image
continue;
}
if histogram != histogram_center {
all_same_histograms = false;
break;
}
}
if all_same_histograms {
let trimmed_image: Image = image.trim_color(255)?;
if trimmed_image.is_repeated_row().unwrap_or(false) {
// It's the same row that is repeated.
// This is usually when it's vertical lines.
return Ok(Classification::FalseIsRepeatedRow);
}
}
let mut number_of_times_center_color_detected_outside: usize = 0;
let mut all_pixels_have_same_value_as_center: bool = false;
let mut center_row_outside_count: u32 = 0;
let mut center_row_same_center_color_count: u32 = 0;
for (index, histogram) in histograms.iter().enumerate() {
if index != 2 {
number_of_times_center_color_detected_outside += histogram.get(center) as usize;
}
if index == 2 {
center_row_same_center_color_count = histogram.get(center);
center_row_outside_count = histogram.get(255);
if histogram.get(center) == 7 {
all_pixels_have_same_value_as_center = true;
}
if histogram.get(center) == 6 && histogram.get(255) == 1 {
all_pixels_have_same_value_as_center = true;
}
if histogram.get(center) == 5 && histogram.get(255) == 2 {
all_pixels_have_same_value_as_center = true;
}
if histogram.get(center) == 4 && histogram.get(255) == 3 {
all_pixels_have_same_value_as_center = true;
}
}
}
// println!("histograms: {:?}", histograms);
// println!("all_pixels_have_same_value: {}", all_pixels_have_same_value);
// println!("number_of_times_center_color_detected_outside: {}", number_of_times_center_color_detected_outside);
// println!("center_row_outside_count: {}", center_row_outside_count);
// println!("center_row_same_center_color_count: {}", center_row_same_center_color_count);
if all_pixels_have_same_value_as_center && number_of_times_center_color_detected_outside == 0 && center_row_outside_count == 0 {
return Ok(Classification::TrueStrong);
}
if all_pixels_have_same_value_as_center && number_of_times_center_color_detected_outside == 0 && center_row_outside_count > 0 {
return Ok(Classification::TrueWeak);
}
if all_pixels_have_same_value_as_center {
return Ok(Classification::TrueWeak);
}
if histogram_left.get(center) > 0 && histogram_right.get(center) > 0 && center_minus1 == center_plus1 {
// The center color is present to the left side, at the center to the right side. The center color occurs 3 or more times.
// This may be a striped line with holes in it.
return Ok(Classification::TrueWeakStripeDot);
}
if center_row_same_center_color_count == 1 {
let center_minus1_present_on_opposite_side: bool = histogram_right.get(center_minus1) >= 2;
let center_plus1_present_on_opposite_side: bool = histogram_left.get(center_plus1) >= 2;
if center_minus1_present_on_opposite_side || center_plus1_present_on_opposite_side {
// The center color is present on the opposite side.
// This may be a striped line with holes in it. Where the center pixel is missing.
return Ok(Classification::TrueWeakStripeHole);
}
}
Ok(Classification::False)
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::arc::ImageTryCreate;
#[test]
fn test_10000_classify_row_truestrong() {
// Arrange
let pixels: Vec<u8> = vec![
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
3, 3, 3, 3, 3, 3, 3,
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::TrueStrong);
}
#[test]
fn test_10001_classify_row_trueweak() {
// Arrange
let pixels: Vec<u8> = vec![
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
3, 3, 3, 3, 3, 3, 3,
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::TrueWeak);
}
#[test]
fn test_10002_classify_row_trueweak_corner_topleft() {
// Arrange
let pixels: Vec<u8> = vec![
255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 3, 3, 3, 3,
255, 255, 255, 7, 7, 7, 7,
255, 255, 255, 7, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::TrueWeak);
}
#[test]
fn test_10003_classify_row_trueweak_stripedot() {
// Arrange
let pixels: Vec<u8> = vec![
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
7, 3, 7, 3, 7, 3, 7, // alternating 3 and 7
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::TrueWeakStripeDot);
}
#[test]
fn test_10004_classify_row_trueweak_stripedot() {
// Arrange
let pixels: Vec<u8> = vec![
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
3, 7, 3, 7, 3, 7, 3, // alternating 3 and 7
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::TrueWeakStripeDot);
}
#[test]
fn test_10005_classify_row_trueweak_stripehole() {
// Arrange
let pixels: Vec<u8> = vec![
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
3, 8, 3, 7, 3, 8, 3, // stripe where the center pixel with value 7, is missing from the stripe
7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::TrueWeakStripeHole);
}
#[test]
fn test_10006_classify_row_false_is_repeated_row() {
// Arrange
let pixels: Vec<u8> = vec![
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::FalseIsRepeatedRow);
}
#[test]
fn test_10007_classify_row_false_is_repeated_row() {
// Arrange
let pixels: Vec<u8> = vec![
255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255,
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::FalseIsRepeatedRow);
}
#[test]
fn test_10008_classify_row_false() {
// Arrange
let pixels: Vec<u8> = vec![
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
6, 6, 6, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
7, 7, 7, 3, 7, 7, 7,
];
let input: Image = Image::try_create(7, 5, pixels).expect("image");
// Act
let actual: Classification = AnalyzeDirection::classify_row(&input).expect("ok");
// Assert
assert_eq!(actual, Classification::False);
}
#[test]
fn test_20000_direction_horizontal() {
// Arrange
let pixels: Vec<u8> = vec![
9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9, 9,
2, 3, 4, 9, 2, 3, 4,
3, 4, 5, 9, 1, 2, 3,
4, 5, 6, 9, 0, 1, 2,
9, 9, 9, 9, 9, 9, 9,
];
let input: Image = Image::try_create(7, 6, pixels).expect("image");
// Act
let actual: AnalyzeDirection = AnalyzeDirection::analyze(&input).expect("ok");
// Assert
let expected_pixels: Vec<u8> = vec![
1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1,
0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0,
1, 1, 1, 1, 1, 1, 1,
];
let expected: Image = Image::try_create(7, 6, expected_pixels).expect("image");
assert_eq!(actual.direction_horizontal, expected);
}
#[test]
fn test_30000_direction_vertical() {
// Arrange
let pixels: Vec<u8> = vec![
9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9, 9,
2, 3, 4, 9, 2, 3, 4,
3, 4, 5, 9, 1, 2, 3,
4, 5, 6, 9, 0, 1, 2,
9, 9, 9, 9, 9, 9, 9,
];
let input: Image = Image::try_create(7, 6, pixels).expect("image");
// Act
let actual: AnalyzeDirection = AnalyzeDirection::analyze(&input).expect("ok");
// Assert
let expected_pixels: Vec<u8> = vec![
0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0,
];
let expected: Image = Image::try_create(7, 6, expected_pixels).expect("image");
assert_eq!(actual.direction_vertical, expected);
}
}
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