feat(selection): separate selection geometry from image content processing

- Introduced a new design for selection rasterization that decouples the selection geometry from the image content, ensuring that the SelectionMask is independent of the source image's alpha and color.
- Updated the `rasterize_selection_path` function to only accept selection paths and image dimensions, removing parameters related to source alpha and alpha thresholds.
- Implemented a new approach for handling selection paths using non-zero winding fill, ensuring overlapping areas are preserved.
- Enhanced performance by utilizing a scanline algorithm for rasterization, significantly reducing processing time for high-resolution images.
- Updated internal documentation and added comprehensive tests to validate the new behavior and performance improvements.
- Ensured backward compatibility by maintaining existing interfaces where necessary while introducing breaking changes in the selection processing logic.

This commit is contained in:

马南

2026-09-01 22:36:20 +08:00

parent 2ff7b04f56

commit 7f6e47432e

54 changed files with 2831 additions and 634 deletions

									
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				      - index.md

				  - 开始使用:

				      - 安装与首次配置: getting-started/installation.md

				      - 五分钟上手: getting-started/quick-start.md

				  - 内部实现:

				      - 总览: internals/index.md

				      - 程序架构: internals/architecture.md

feat(selection): separate selection geometry from image content processing

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