Open jessiya825 opened 3 years ago
Thanks for your Trainable Segmentation ! It is useful !
When I label the cell, I can create training data by makeOval(8,113, 46, 104); call("trainableSegmentation.Weka_Segmentation.addTrace", "1", "1");
makeOval(8,113, 46, 104);
call("trainableSegmentation.Weka_Segmentation.addTrace", "1", "1");
But I have so many training images, and labeling every cell is time-consuming.
I have gained the binary image, and the label is showed by mask (notice: all masks in one image belong to the same class), such as:
For each image, I want to detect the mask and label all masks to one class. What should I do ?
Thank you~
Hello @jessiya825
In Fiji you can create a selection (Edit > Selection > Create Selection) out of the binary image you have and add the whole thing as a "trace". I hope that helps!
Thanks for your Trainable Segmentation ! It is useful !
When I label the cell, I can create training data by
makeOval(8,113, 46, 104);
call("trainableSegmentation.Weka_Segmentation.addTrace", "1", "1");
But I have so many training images, and labeling every cell is time-consuming.
I have gained the binary image, and the label is showed by mask (notice: all masks in one image belong to the same class), such as:
For each image, I want to detect the mask and label all masks to one class. What should I do ?
Thank you~