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| Phân tích đường bao× | Cân bằng lược đồ mức xám× | |
|---|---|---|
| Lĩnh vực | Thị giác máy tính | Thị giác máy tính |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1985 | 1970s |
| Người khởi xướng≠ | Satoshi Suzuki and Keiichi Abe | Signal processing community |
| Loại≠ | Shape and contour analysis | Contrast enhancement and preprocessing |
| Công trình gốc≠ | Suzuki, S., & Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1), 32–46. DOI ↗ | Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link ↗ |
| Tên gọi khác | Edge-based contours, Boundary analysis | Histogram stretching, Contrast enhancement |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | Contour analysis is the process of detecting and analyzing the boundaries of objects in images by identifying connected edges and extracting shape information. The Suzuki-Abe algorithm provides an efficient method for finding contours in binary images, enabling shape-based object classification and segmentation. | Histogram equalization is an image preprocessing technique that redistributes pixel intensities to improve contrast and visibility of details. By spreading the histogram of pixel values evenly across the available range, histogram equalization enhances images with poor contrast, making features more visually distinct and easier to process algorithmically. |
| ScholarGateBộ dữ liệu ↗ |
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