自适应颜色识别中自适应函数的修改
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Description
现在的版本中，是认为当调节自适应的时候，随着H的值按比例衰减。观察函数可以知道，Hdiff其实是靠近平均值的程度，一般来讲越靠近平均值，说明越可能是这个颜色。 就拿蓝色来说，当H趋于100的时候，也是就是很可能不是蓝色，那么我们就希望s，V的值大一些 这样颜色正一些。所以应该是H趋于100，S，V趋于255. [基于这个思路，自适应应该是随着H的值按比例增加。下面贴对比图
**Please tell us about your environment:**
* **System:** CentOS
* **Compiler version/IDE:** gcc4.8
* **CMake version:** 3.5.1
* **OpenCV version:** [ 3.1 ]
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Locate the adaptive color-recognition function and inspect how Hdiff currently changes the S and V thresholds. Compare the existing behavior with the blue-color example described in the issue, where H approaching 100 should make S and V approach 255. Done means the adaptive behavior follows that relationship and the relevant OpenCV-based recognition behavior can be verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, opencv
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100