Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| 14 | 15 | 16 | 17 | 18 | 19 | 20 |
| 21 | 22 | 23 | 24 | 25 | 26 | 27 |
| 28 | 29 | 30 | 31 |
Tags
- shadowing
- Excel
- Policy Gradient
- checkitout
- sidleup
- scowl
- fastapi
- clip intensity values
- noise contrast estimation
- REINFORCE
- domain adaptation
- sample rows
- Knowledge Distillation
- objective functions for machine learning
- 3d medical image
- model-free control
- freebooze
- straightup
- MRI
- Actor-Critic
- resample
- 자료구조
- pulloff
- thresholding
- rest-api
- normalization
- non parametic softmax
- loss functions
- remove outliers
- Inorder Traversal
Archives
- Today
- Total
목록thresholding (1)
Let's Run Jinyeah
What is Thresholding? Thresholding is a type of image segmentation. It converts an image from colour or grayscale into a binary image that is simply black and white. Overall Process of Thresholding (fixed-level thresholding) 1) load the original image 2) convert it to grayscale - grayscale images containe pixel values in the range from 0 to 1 3) de-noise image ex.blurring - not necessary, but im..
Programming/Medical Image Processing
2022. 5. 26. 00:09