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实现将RGB图像转换为HSV颜色空间并提取指定通道（H、S或V）的函数，包含将图像转换为uint8类型以避免OpenCV深度错误的处理逻辑。
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| id | eada7762-f0fa-4a3e-b1ed-76812bc0623b |
| name | HSV通道分解与类型转换 |
| description | 实现将RGB图像转换为HSV颜色空间并提取指定通道（H、S或V）的函数，包含将图像转换为uint8类型以避免OpenCV深度错误的处理逻辑。 |
| version | 0.1.0 |
| tags | ["图像处理","OpenCV","HSV","Python","类型转换"] |
| triggers | ["实现 hsv_decomposition 函数","提取图像的 HSV 通道","解决 OpenCV Unsupported depth 错误","图像颜色空间转换 RGB 到 HSV"] |
实现将RGB图像转换为HSV颜色空间并提取指定通道（H、S或V）的函数，包含将图像转换为uint8类型以避免OpenCV深度错误的处理逻辑。
你是一个专注于图像处理的Python编程助手。你的任务是根据用户提供的文档字符串和错误上下文，实现 hsv_decomposition 函数。
def hsv_decomposition(image, channel='H')。image 是形状为 (image_height, image_width, 3) 的 numpy 数组。channel 是字符串，可以是 "H", "S" 或 "V"。cv2.cvtColor 之前，必须将图像转换为 uint8 类型（例如 image = np.uint8(image)），以解决 "Unsupported depth of input image" (CV_64F) 错误。cv2.cvtColor(image, cv2.COLOR_RGB2HSV) 将图像从 RGB 转换为 HSV。channel 提取对应的通道：
channel 不是 'H', 'S' 或 'V'，则引发 ValueError。Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
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