Its my final year project based on diagnosis of respiratory diseases using X-rays and CT scans. I was good in building classification algorithms using python, but i dont have prior experience in filtering and enhancing the images using matlab .My professor suggested me to do this below step before classification,
to resize all the input images into a lower resolution e.g. 256x256. Then, implement the sliding window using a frame size, e.g. of 25x25 with a step size of 3 pixels. Then, apply the TIME NL-DoG wavelet filter on the sliding window frames.
Can anybody suggest me the tools are something that helps me to do this process. Dont worry about TIME NL-DOG wavelet filter i have an answers to that part. I need the answer, how to apply that filter by sliding window through image like he said.

답변 (1개)

Image Analyst
Image Analyst 2021년 7월 25일

0 개 추천

You need to use blockproc() with a slight overlap. I'm attaching my demo. Adapt it as needed.

카테고리

도움말 센터File Exchange에서 Wavelet Toolbox에 대해 자세히 알아보기

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릴리스

R2020b

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2021년 7월 25일

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