From c5a6f67654f1a68c29ec1eddbb1d8560c2670a78 Mon Sep 17 00:00:00 2001 From: Vighnesh Birodkar Date: Tue, 4 Mar 2014 22:41:04 +0530 Subject: [PATCH] doc string --- skimage/feature/blob.py | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/skimage/feature/blob.py b/skimage/feature/blob.py index 86d77f8f..c702ecad 100644 --- a/skimage/feature/blob.py +++ b/skimage/feature/blob.py @@ -26,7 +26,7 @@ def _get_local_maxima_3d(array, threshold): array : ndarray The 3d array whose local maximas are sought. thresh : float - Local maximas lesser than thresh are ignored. + Local maximas lesser than `thresh` are ignored. Returns ------- @@ -144,7 +144,6 @@ def blob_dog(image, min_sigma=1, max_sigma=25, sigma_ratio=1.6, threshold=2.0, sigma_ratio : float, optional The ratio between the standard deviation of Gaussian Kernels used for computing the Difference of Gaussians - `max_sigma` threshold : float, optional. The absolute lower bound for scale space maxima. Local maxima smaller than thresh are ignored. Reduce this to detect blobs with less @@ -152,11 +151,6 @@ def blob_dog(image, min_sigma=1, max_sigma=25, sigma_ratio=1.6, threshold=2.0, overlap : float, optional A value between 0 and 1. If the area of two blobs overlaps by a fraction greater than `thresh`, the smaller blob is eliminated. - log_scale : boolean, optional - If set to True, the standard deviations of Gaussian Kernels are - interpolated using a logarithmic scale. This is useful when finding - blobs with a large variation in size. If set, scales are interpolated - with log to the base 10. Returns -------