diff --git a/skimage/util/dtype.py b/skimage/util/dtype.py
index 0ca3197b..518ebf18 100644
--- a/skimage/util/dtype.py
+++ b/skimage/util/dtype.py
@@ -150,8 +150,16 @@ def convert(image, dtype, force_copy=False, uniform=False):
     itemsize = dtypeobj.itemsize
     itemsize_in = dtypeobj_in.itemsize
 
-    if kind == 'b' or kind_in == 'b':
+    if kind == 'b':
+        # to binary image
+        if kind_in in "fi":
+            sign_loss()
+        prec_loss()
         return dtype(image)
+    
+    if kind_in == 'b':
+        # from binary image, to float and to integer
+        return dtype(image) * dtype(dtype_range[dtype][1])
 
     if kind in 'ui':
         imin = np.iinfo(dtype).min
diff --git a/skimage/util/tests/test_dtype.py b/skimage/util/tests/test_dtype.py
index 9803e0af..946a09eb 100644
--- a/skimage/util/tests/test_dtype.py
+++ b/skimage/util/tests/test_dtype.py
@@ -93,12 +93,14 @@ def test_bool():
     img_[1, 1] = True
     img8[1, 1] = True
     funcs = (img_as_float, img_as_int, img_as_ubyte, img_as_uint, img_as_bool)
-    for func in funcs:
+    for (func, dt) in [(img_as_int, np.int16),
+                    (img_as_float, np.float64),
+                    (img_as_uint, np.uint16),
+                    (img_as_ubyte, np.ubyte)]:
         converted_ = func(img_)
-        assert np.sum(converted_) == 1
+        assert np.sum(converted_) == dtype_range[dt][1]
         converted8 = func(img8)
-        assert np.sum(converted8) == 1
-
+        assert np.sum(converted8) == dtype_range[dt][1]
 
 if __name__ == '__main__':
     np.testing.run_module_suite()