Building Image Processing Applications Using scikit-image (Janani Ravi, 2018)

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文档列表

4. Segmentation and Transformation/10. Comparing Images Using MSE and SSIM.mp4 23.2 MB
exercise.7z 21.8 MB
3. Object and Feature Detection/7. Applying Denoising Filters.mp4 17.2 MB
3. Object and Feature Detection/9. Filling Holes and Finding Peaks Using Erosion and Dilation.mp4 17.0 MB
2. Working with Image Data/05. Working with Images as NumPy Arrays.mp4 14.3 MB
4. Segmentation and Transformation/03. Applying Global and Local Thresholding Algorithms.mp4 12.2 MB
4. Segmentation and Transformation/05. Segmentation and Merging Segments Using Rags.mp4 11.9 MB
2. Working with Image Data/14. Canny Edge Detection.mp4 11.1 MB
2. Working with Image Data/10. Contours.mp4 10.6 MB
4. Segmentation and Transformation/08. Applying Image Transformations.mp4 9.9 MB
3. Object and Feature Detection/5. Corner Detection.mp4 9.7 MB
3. Object and Feature Detection/4. Visualizing Hog Feature Descriptors.mp4 9.6 MB
3. Object and Feature Detection/3. Visualizing Daisy Descriptors on Images.mp4 9.5 MB
2. Working with Image Data/09. Block Views and Pooling Operations.mp4 9.1 MB
2. Working with Image Data/07. Masking Color Images.mp4 8.4 MB
4. Segmentation and Transformation/07. Segmentation Using Classic and Compact Watershed.mp4 7.9 MB
2. Working with Image Data/06. Masking Images Using Array Manipulation.mp4 7.8 MB
2. Working with Image Data/04. Introducing scikit-image.mp4 6.6 MB
2. Working with Image Data/11. Convex Hull.mp4 5.3 MB
2. Working with Image Data/12. Edge Detection.mp4 4.8 MB
1. Course Overview/1. Course Overview.mp4 4.6 MB
2. Working with Image Data/08. Introducing Block Views and Pooling.mp4 4.1 MB
3. Object and Feature Detection/2. Feature Detection and Image Descriptors.mp4 3.8 MB
2. Working with Image Data/13. Roberts and Sobel Edge Detection.mp4 3.6 MB
4. Segmentation and Transformation/09. Introducing the MSE and SSIM as Distance Measures.mp4 3.1 MB
4. Segmentation and Transformation/04. Image Segmentation and Region Adjacency Graphs.mp4 3.1 MB
4. Segmentation and Transformation/02. Introducing Thresholding.mp4 2.9 MB
3. Object and Feature Detection/6. Introducing Denoising Filters.mp4 2.8 MB
2. Working with Image Data/03. Prerequisites and Course Outline.mp4 2.7 MB
4. Segmentation and Transformation/06. Introducing Watershed Algorithms for Segmentation.mp4 2.4 MB
3. Object and Feature Detection/8. Morphological Reconstruction.mp4 2.4 MB
4. Segmentation and Transformation/11. Summary and Further Study.mp4 2.4 MB
3. Object and Feature Detection/1. Module Overview.mp4 2.0 MB
2. Working with Image Data/02. Module Overview.mp4 1.6 MB
4. Segmentation and Transformation/01. Module Overview.mp4 1.5 MB
2. Working with Image Data/01. Version Check.mp4 604.3 kB
cover.jpg 97.9 kB
2. Working with Image Data/05. Working with Images as NumPy Arrays.vtt 8.8 kB
2. Working with Image Data/14. Canny Edge Detection.vtt 8.5 kB
2. Working with Image Data/10. Contours.vtt 8.4 kB
4. Segmentation and Transformation/10. Comparing Images Using MSE and SSIM.vtt 8.3 kB
3. Object and Feature Detection/9. Filling Holes and Finding Peaks Using Erosion and Dilation.vtt 7.9 kB
3. Object and Feature Detection/7. Applying Denoising Filters.vtt 7.4 kB
3. Object and Feature Detection/5. Corner Detection.vtt 7.3 kB
4. Segmentation and Transformation/05. Segmentation and Merging Segments Using Rags.vtt 6.9 kB
2. Working with Image Data/04. Introducing scikit-image.vtt 6.8 kB
2. Working with Image Data/09. Block Views and Pooling Operations.vtt 5.7 kB
2. Working with Image Data/07. Masking Color Images.vtt 5.4 kB
4. Segmentation and Transformation/03. Applying Global and Local Thresholding Algorithms.vtt 5.4 kB
2. Working with Image Data/06. Masking Images Using Array Manipulation.vtt 5.2 kB
2. Working with Image Data/12. Edge Detection.vtt 5.2 kB
3. Object and Feature Detection/4. Visualizing Hog Feature Descriptors.vtt 4.9 kB
3. Object and Feature Detection/3. Visualizing Daisy Descriptors on Images.vtt 4.8 kB
2. Working with Image Data/11. Convex Hull.vtt 4.7 kB
2. Working with Image Data/08. Introducing Block Views and Pooling.vtt 4.7 kB
4. Segmentation and Transformation/07. Segmentation Using Classic and Compact Watershed.vtt 4.5 kB
3. Object and Feature Detection/2. Feature Detection and Image Descriptors.vtt 4.3 kB
4. Segmentation and Transformation/08. Applying Image Transformations.vtt 4.1 kB
4. Segmentation and Transformation/09. Introducing the MSE and SSIM as Distance Measures.vtt 3.6 kB
2. Working with Image Data/03. Prerequisites and Course Outline.vtt 3.3 kB
4. Segmentation and Transformation/02. Introducing Thresholding.vtt 3.1 kB
4. Segmentation and Transformation/04. Image Segmentation and Region Adjacency Graphs.vtt 3.0 kB
1. Course Overview/1. Course Overview.vtt 2.9 kB
3. Object and Feature Detection/6. Introducing Denoising Filters.vtt 2.9 kB
4. Segmentation and Transformation/11. Summary and Further Study.vtt 2.7 kB
3. Object and Feature Detection/8. Morphological Reconstruction.vtt 2.7 kB
4. Segmentation and Transformation/06. Introducing Watershed Algorithms for Segmentation.vtt 2.5 kB
playlist.m3u 2.4 kB
2. Working with Image Data/13. Roberts and Sobel Edge Detection.vtt 2.0 kB
~i.txt 1.8 kB
3. Object and Feature Detection/1. Module Overview.vtt 1.7 kB
2. Working with Image Data/02. Module Overview.vtt 1.5 kB
4. Segmentation and Transformation/01. Module Overview.vtt 1.5 kB
2. Working with Image Data/01. Version Check.vtt 7 Bytes

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