问题
I'm trying to apply a foreground extraction to a SVS image (Whole Slide Image) usign OpenSlide library.
First, I converted my image to an array to work on my foreground extraction:
image = np.asarray(oslIm.read_region((0, 0), level, oslIm.level_dimensions[level]), dtype=np.uint8)[:, :, 0:3]
After that I generated my mask, which I applied to my converted image:
plt.imshow(image * final_mask[:, :, np.newaxis])
plt.xticks([])
plt.yticks([])
plt.savefig("./masks/ResultingImage.png", format='png', dpi=90, pad_inches=0.1, bbox_inches='tight');
plt.close()
What I want is to convert my image to svs again so I can work on the foreground of the original image and apply my patch extractor (tile the image in patches for annotation ease)
def sample_and_store_patches_by_row(
file_name,
pixel_overlap,
patch_size=512,
level=17,
):
How can I do that?
Regards
来源:https://stackoverflow.com/questions/53242599/convert-image-array-to-original-svs-format