Hi everyone! I am trying to analyze images taken of FISH samples of rat brain tissue. All of my images are between 150 and 200 MB. Even with my computer’s max available 25 GB RAM allocated to ImageJ, I get a Memory error when I use the same Weka Segmentation Feature Stack as I did on smaller images. However, when I run with no image features selected, I am able to get a complete segmentation, albeit a rather poor one. My question is this: Which image features would be best for me to use in the Trainable Weka Segmentation tool given my memory constraint and the image sample I provide below?
Here is a segment of one of the much larger images: