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// 轮廓提取与绘制 16-bit/float 变体
///|
/// 提取轮廓 16-bit 版本。
pub fn find_contours_16(
img : @types.Image16,
) -> Array[Contour] raise @types.LoadError {
// 输入验证
if img.width <= 0 || img.height <= 0 {
raise @types.LoadError::DecodeFailed(
"find_contours_16: 图像尺寸必须大于0",
)
}
if img.channels != 1 && img.channels != 3 && img.channels != 4 {
raise @types.LoadError::DecodeFailed(
"find_contours_16: 仅支持 channels=1/3/4",
)
}
let expected_size = img.width * img.height * img.channels * 2
if img.data.length() != expected_size {
raise @types.LoadError::DecodeFailed(
"find_contours_16: 数据大小不匹配，期望 " +
expected_size.to_string() +
"，实际 " +
img.data.length().to_string(),
)
}
let w = img.width
let h = img.height
let ch = img.channels
let binary : Array[Bool] = Array::make(w * h, false)
for i in 0..<(w * h) {
let v = img.data[i * ch * 2].to_int() |
(img.data[i * ch * 2 + 1].to_int() << 8)
binary[i] = v > 0
}
let visited : Array[Bool] = Array::make(w * h, false)
let contours : Array[Contour] = []
for y in 0..<h {
for x in 0..<w {
let idx = y * w + x
if binary[idx] && !visited[idx] {
let is_outer = y == 0 || !binary[idx - w]
let contour = trace_boundary_16f(binary, visited, x, y, w, h, is_outer)
if contour.points.length() > 0 {
contours.push(contour)
}
}
}
}
contours
}
///|
/// 提取轮廓 float 版本。
pub fn find_contours_f(
img : @types.ImageF,
) -> Array[Contour] raise @types.LoadError {
// 输入验证
if img.width <= 0 || img.height <= 0 {
raise @types.LoadError::DecodeFailed(
"find_contours_f: 图像尺寸必须大于0",
)
}
if img.channels != 1 && img.channels != 3 && img.channels != 4 {
raise @types.LoadError::DecodeFailed(
"find_contours_f: 仅支持 channels=1/3/4",
)
}
let expected_size = img.width * img.height * img.channels * 4
if img.data.length() != expected_size {
raise @types.LoadError::DecodeFailed(
"find_contours_f: 数据大小不匹配，期望 " +
expected_size.to_string() +
"，实际 " +
img.data.length().to_string(),
)
}
let w = img.width
let h = img.height
let ch = img.channels
let binary : Array[Bool] = Array::make(w * h, false)
for i in 0..<(w * h) {
let bits = img.data[i * ch * 4].to_int() |
(img.data[i * ch * 4 + 1].to_int() << 8) |
(img.data[i * ch * 4 + 2].to_int() << 16) |
(img.data[i * ch * 4 + 3].to_int() << 24)
binary[i] = Float::reinterpret_from_int(bits) > 0.0F
}
let visited : Array[Bool] = Array::make(w * h, false)
let contours : Array[Contour] = []
for y in 0..<h {
for x in 0..<w {
let idx = y * w + x
if binary[idx] && !visited[idx] {
let is_outer = y == 0 || !binary[idx - w]
let contour = trace_boundary_16f(binary, visited, x, y, w, h, is_outer)
if contour.points.length() > 0 {
contours.push(contour)
}
}
}
}
contours
}
///|
/// Moore 边界跟踪（16/f 共用）
fn trace_boundary_16f(
binary : Array[Bool],
visited : Array[Bool],
start_x : Int,
start_y : Int,
w : Int,
h : Int,
is_outer : Bool,
) -> Contour {
let points : Array[ContourPoint] = []
let mut cx = start_x
let mut cy = start_y
let mut dir_idx = 0
let mut count = 0
let max_count = w * h * 8 + 1
while count < max_count {
let idx = cy * w + cx
if !visited[idx] {
visited[idx] = true
points.push(ContourPoint::{ x: cx, y: cy })
}
count += 1
let mut found = false
for i in 0..<8 {
let d = (dir_idx + i) % 8
let (dx, dy) = match d {
0 => (1, 0)
1 => (1, 1)
2 => (0, 1)
3 => (-1, 1)
4 => (-1, 0)
5 => (-1, -1)
6 => (0, -1)
_ => (1, -1)
}
let nx = cx + dx
let ny = cy + dy
if nx >= 0 && nx < w && ny >= 0 && ny < h && binary[ny * w + nx] {
cx = nx
cy = ny
dir_idx = (d + 6) % 8
found = true
break
}
}
if !found {
break
}
if cx == start_x && cy == start_y {
break
}
}
Contour::{ points, is_outer }
}
///|
/// 绘制轮廓 16-bit 版本。
pub fn draw_contours_16(
img : @types.Image16,
contours : Array[Contour],
color : Array[Int],
) -> @types.Image16 raise @types.LoadError {
// 输入验证
if img.width <= 0 || img.height <= 0 {
raise @types.LoadError::DecodeFailed(
"draw_contours_16: 图像尺寸必须大于0",
)
}
if img.channels != 1 && img.channels != 3 && img.channels != 4 {
raise @types.LoadError::DecodeFailed(
"draw_contours_16: 仅支持 channels=1/3/4",
)
}
let expected_size = img.width * img.height * img.channels * 2
if img.data.length() != expected_size {
raise @types.LoadError::DecodeFailed(
"draw_contours_16: 数据大小不匹配，期望 " +
expected_size.to_string() +
"，实际 " +
img.data.length().to_string(),
)
}
if color.length() == 0 {
raise @types.LoadError::DecodeFailed(
"draw_contours_16: color数组不能为空",
)
}
let ch = img.channels
let w = img.width
let h = img.height
let out : Array[Byte] = Array::make(w * h * ch * 2, b'\x00')
for i in 0..<(w * h * ch) {
out[i * 2] = img.data[i * 2]
out[i * 2 + 1] = img.data[i * 2 + 1]
}
let draw_ch = if ch >= 3 { 3 } else { 1 }
for contour in contours {
for pt in contour.points {
if pt.x >= 0 && pt.x < w && pt.y >= 0 && pt.y < h {
for c in 0..<draw_ch {
if c < color.length() {
let v = color[c]
out[((pt.y * w + pt.x) * ch + c) * 2] = (v & 0xFF).to_byte()
out[((pt.y * w + pt.x) * ch + c) * 2 + 1] = ((v >> 8) & 0xFF).to_byte()
}
}
}
}
}
@types.Image16::{
width: w,
height: h,
channels: ch,
data: Bytes::from_array(out),
}
}
///|
/// 绘制轮廓 float 版本。
pub fn draw_contours_f(
img : @types.ImageF,
contours : Array[Contour],
color : Array[Float],
) -> @types.ImageF raise @types.LoadError {
// 输入验证
if img.width <= 0 || img.height <= 0 {
raise @types.LoadError::DecodeFailed(
"draw_contours_f: 图像尺寸必须大于0",
)
}
if img.channels != 1 && img.channels != 3 && img.channels != 4 {
raise @types.LoadError::DecodeFailed(
"draw_contours_f: 仅支持 channels=1/3/4",
)
}
let expected_size = img.width * img.height * img.channels * 4
if img.data.length() != expected_size {
raise @types.LoadError::DecodeFailed(
"draw_contours_f: 数据大小不匹配，期望 " +
expected_size.to_string() +
"，实际 " +
img.data.length().to_string(),
)
}
if color.length() == 0 {
raise @types.LoadError::DecodeFailed(
"draw_contours_f: color数组不能为空",
)
}
let ch = img.channels
let w = img.width
let h = img.height
let out : Array[Byte] = Array::make(w * h * ch * 4, b'\x00')
for i in 0..<(w * h * ch) {
out[i * 4] = img.data[i * 4]
out[i * 4 + 1] = img.data[i * 4 + 1]
out[i * 4 + 2] = img.data[i * 4 + 2]
out[i * 4 + 3] = img.data[i * 4 + 3]
}
let draw_ch = if ch >= 3 { 3 } else { 1 }
for contour in contours {
for pt in contour.points {
if pt.x >= 0 && pt.x < w && pt.y >= 0 && pt.y < h {
for c in 0..<draw_ch {
if c < color.length() {
let bits = color[c].reinterpret_as_int()
out[((pt.y * w + pt.x) * ch + c) * 4] = (bits & 0xFF).to_byte()
out[((pt.y * w + pt.x) * ch + c) * 4 + 1] = ((bits >> 8) & 0xFF).to_byte()
out[((pt.y * w + pt.x) * ch + c) * 4 + 2] = ((bits >> 16) & 0xFF).to_byte()
out[((pt.y * w + pt.x) * ch + c) * 4 + 3] = ((bits >> 24) & 0xFF).to_byte()
}
}
}
}
}
@types.ImageF::{
width: w,
height: h,
channels: ch,
data: Bytes::from_array(out),
}
}