Building Image Processing Applications Using scikit-image (Janani Ravi, 2018)
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磁链详情
文件数目:
74个文件
文件大小:
259.3 MB
收录时间:
2023-01-23
访问次数:
1
相关内容:
Building
Image
Processing
Applications
Using
scikit-image
Janani
Ravi
2018
文件meta
4. Segmentation and Transformation/10. Comparing Images Using MSE and SSIM.mp4
22.14 MB
exercise.7z
20.78 MB
3. Object and Feature Detection/7. Applying Denoising Filters.mp4
16.45 MB
3. Object and Feature Detection/9. Filling Holes and Finding Peaks Using Erosion and Dilation.mp4
16.18 MB
2. Working with Image Data/05. Working with Images as NumPy Arrays.mp4
13.68 MB
4. Segmentation and Transformation/03. Applying Global and Local Thresholding Algorithms.mp4
11.61 MB
4. Segmentation and Transformation/05. Segmentation and Merging Segments Using Rags.mp4
11.38 MB
2. Working with Image Data/14. Canny Edge Detection.mp4
10.59 MB
2. Working with Image Data/10. Contours.mp4
10.07 MB
4. Segmentation and Transformation/08. Applying Image Transformations.mp4
9.48 MB
3. Object and Feature Detection/5. Corner Detection.mp4
9.22 MB
3. Object and Feature Detection/4. Visualizing Hog Feature Descriptors.mp4
9.2 MB
3. Object and Feature Detection/3. Visualizing Daisy Descriptors on Images.mp4
9.05 MB
2. Working with Image Data/09. Block Views and Pooling Operations.mp4
8.65 MB
2. Working with Image Data/07. Masking Color Images.mp4
8 MB
4. Segmentation and Transformation/07. Segmentation Using Classic and Compact Watershed.mp4
7.54 MB
2. Working with Image Data/06. Masking Images Using Array Manipulation.mp4
7.49 MB
2. Working with Image Data/04. Introducing scikit-image.mp4
6.3 MB
2. Working with Image Data/11. Convex Hull.mp4
5.05 MB
2. Working with Image Data/12. Edge Detection.mp4
4.53 MB
1. Course Overview/1. Course Overview.mp4
4.38 MB
2. Working with Image Data/08. Introducing Block Views and Pooling.mp4
3.93 MB
3. Object and Feature Detection/2. Feature Detection and Image Descriptors.mp4
3.67 MB
2. Working with Image Data/13. Roberts and Sobel Edge Detection.mp4
3.45 MB
4. Segmentation and Transformation/09. Introducing the MSE and SSIM as Distance Measures.mp4
3 MB
4. Segmentation and Transformation/04. Image Segmentation and Region Adjacency Graphs.mp4
2.91 MB
4. Segmentation and Transformation/02. Introducing Thresholding.mp4
2.77 MB
3. Object and Feature Detection/6. Introducing Denoising Filters.mp4
2.63 MB
2. Working with Image Data/03. Prerequisites and Course Outline.mp4
2.56 MB
4. Segmentation and Transformation/06. Introducing Watershed Algorithms for Segmentation.mp4
2.33 MB
3. Object and Feature Detection/8. Morphological Reconstruction.mp4
2.32 MB
4. Segmentation and Transformation/11. Summary and Further Study.mp4
2.27 MB
3. Object and Feature Detection/1. Module Overview.mp4
1.87 MB
2. Working with Image Data/02. Module Overview.mp4
1.54 MB
4. Segmentation and Transformation/01. Module Overview.mp4
1.46 MB
2. Working with Image Data/01. Version Check.mp4
590.11 KB
cover.jpg
95.59 KB
2. Working with Image Data/05. Working with Images as NumPy Arrays.vtt
8.64 KB
2. Working with Image Data/14. Canny Edge Detection.vtt
8.3 KB
2. Working with Image Data/10. Contours.vtt
8.21 KB
4. Segmentation and Transformation/10. Comparing Images Using MSE and SSIM.vtt
8.08 KB
3. Object and Feature Detection/9. Filling Holes and Finding Peaks Using Erosion and Dilation.vtt
7.71 KB
3. Object and Feature Detection/7. Applying Denoising Filters.vtt
7.25 KB
3. Object and Feature Detection/5. Corner Detection.vtt
7.14 KB
4. Segmentation and Transformation/05. Segmentation and Merging Segments Using Rags.vtt
6.72 KB
2. Working with Image Data/04. Introducing scikit-image.vtt
6.61 KB
2. Working with Image Data/09. Block Views and Pooling Operations.vtt
5.6 KB
2. Working with Image Data/07. Masking Color Images.vtt
5.3 KB
4. Segmentation and Transformation/03. Applying Global and Local Thresholding Algorithms.vtt
5.25 KB
2. Working with Image Data/06. Masking Images Using Array Manipulation.vtt
5.1 KB
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