Nov 6, 2014 · We present an algorithm for edge detection of parasites in microscopic images of stools, using the multi-scale wavelet transform.
We present an algorithm for edge detection of parasites in microscopic images of stools, using the multi-scale wavelet transform. This method is an evolution of ...
An algorithm for edge detection of parasites in microscopic images of stools, using the multi-scale wavelet transform, an evolution of the Canny–Mallat ...
Edge detection of intestinal parasites in stool microscopic images using ...
ouci.dntb.gov.ua › works
Edge detection of intestinal parasites in stool microscopic images using multi-scale wavelet transform. https://doi.org/10.1007/s11760-014-0716-6.
Our approach exploits the contour detection based on the multi-scale wavelet transform for detecting the parasite. Active contours are combined with the Hough ...
Bibliographic details on Edge detection of intestinal parasites in stool microscopic images using multi-scale wavelet transform.
Edge detection of intestinal parasites in stool microscopic images using multi-scale wavelet transform. 作 者：. Daniel Tchiotsop;Beaudelaire Saha Tchinda ...
Edge detection of intestinal parasites in stool microscopic images using multi-scale wavelet transform. Signal Image Video Process. 9(Supplement-1): 121-134 ...
Dec 3, 2022 · Automatic recognition of human parasite cysts on microscopic stools images using principal component analysis and probabilistic neural network.
The extraction scheme has four main steps: The first step is the edge detection using the multi-scale wavelet transform. The second step uses edges to locate ...