問題描述
我正在研究圖像處理以識別某些對象并在圖像中計數它們的可能性.
I am investigating the possibility of image processing to identify certain objects and also count them in an image.
我將獲得一張圖片，我需要確定該圖片中存在的框數.
I will be given a picture and I need to identify the number of boxes present in that image.
是否有人對任何機器視覺/圖像處理庫(如 ImageJ、Fiji、JAI、jMagick、Java Vision Toolkit)有任何經驗?你認為哪個最適合這份工作?你們有什么建議?如果 API 可以從 Java 中使用，那就更好了.謝謝.
Does anybody have any experience with any Machine Vision/ Image Processing libraries like ImageJ, Fiji, JAI, jMagick ,Java Vision Toolkit? Which do you think is best suited for the job? What do you guys suggest? If the APIs can be used from Java, it would be better. Thank you.
我正在處理倉庫棕色盒子.是的，我說的是普通照片.來源通常是手機圖片.
I am dealing with warehouse brown boxes. Yes I am talking about regular photos. The source is usually a mobile phone picture.
很抱歉，答案被自動選擇了.: (
I am sorry the answer got autoselected. : (
推薦答案
如果一定要堅持Java，還是可以使用OpenCV.
If you must stick to Java, you can still use OpenCV.
- 如果只是盒子，您可以使用 霍夫變換 來檢測它們.李>
- 您可以使用 OpenSURF 根據您提供的源圖像檢測手機給它.
- 不要認為這在您的情況下是可行的:HAAR Cascades.您可以創建自定義 HAAR 分類器，但訓練過程可能非常耗時.
- If it's just boxes you can use Hough Transforms to detect them.
- You can use OpenSURF to detect phones based on source images you feed to it.
- Don't think this would be feasible in your case: HAAR Cascades. You could create a custom HAAR clasifier, but the training process can be quite time consuming.
HTH,喬治
這篇關于計算圖像中的對象數量的文章就介紹到這了，希望我們推薦的答案對大家有所幫助，也希望大家多多支持html5模板網！