tests and minor corrections

skimage/feature/tests/test_blob.py

@@ -18,7 +18,7 @@ def test_blob_dog():
     img[xs, ys] = 255
 
     blobs = blob_dog(img, min_sigma=5, max_sigma=50)
-    radius = lambda x: r2*x[2]
+    radius = lambda x: r2 * x[2]
     s = sorted(blobs, key=radius)
     thresh = 5
 
@@ -56,7 +56,7 @@ def test_blob_log():
 
     blobs = blob_log(img, min_sigma=5, max_sigma=20, threshold=1)
 
-    radius = lambda x: r2*x[2]
+    radius = lambda x: r2 * x[2]
     s = sorted(blobs, key=radius)
     thresh = 3
 
@@ -79,15 +79,15 @@ def test_blob_log():
     assert abs(b[0] - 200) <= thresh
     assert abs(b[1] - 350) <= thresh
     assert abs(radius(b) - 30) <= thresh
-    
+
+
 def test_blob_doh():
-    r2 = math.sqrt(2)
-    img = np.ones((512, 512), dtype = np.uint8)
+    img = np.ones((512, 512), dtype=np.uint8)
 
     xs, ys = circle(400, 130, 20)
     img[xs, ys] = 255
 
-    xs, ys = circle(160, 50, 30)
+    xs, ys = circle(460, 50, 30)
     img[xs, ys] = 255
 
     xs, ys = circle(100, 300, 40)
@@ -96,9 +96,14 @@ def test_blob_doh():
     xs, ys = circle(200, 350, 50)
     img[xs, ys] = 255
 
-    blobs = blob_doh(img, min_sigma=1, max_sigma=60, num_sigma=10)
+    blobs = blob_doh(
+        img,
+        min_sigma=1,
+        max_sigma=60,
+        num_sigma=10,
+        threshold=1000)
 
-    radius = lambda x: r2*x[2]
+    radius = lambda x: x[2]
     s = sorted(blobs, key=radius)
     thresh = 3
 
@@ -108,7 +113,7 @@ def test_blob_doh():
     assert abs(radius(b) - 20) <= thresh
 
     b = s[1]
-    assert abs(b[0] - 160) <= thresh
+    assert abs(b[0] - 460) <= thresh
     assert abs(b[1] - 50) <= thresh
     assert abs(radius(b) - 30) <= thresh