diff --git a/skimage/_shared/transform.pxd b/skimage/_shared/transform.pxd
index ccb16ff3..4978e843 100644
--- a/skimage/_shared/transform.pxd
+++ b/skimage/_shared/transform.pxd
@@ -1,5 +1,5 @@
 cimport numpy as cnp
 
 
-cdef float integrate(cnp.ndarray[float, ndim=2,  mode="c"] sat,
-                     Py_ssize_t r0, Py_ssize_t c0, Py_ssize_t r1, Py_ssize_t c1)
+cdef float integrate(float[:, ::1] sat, Py_ssize_t r0, Py_ssize_t c0,
+                     Py_ssize_t r1, Py_ssize_t c1)
diff --git a/skimage/_shared/transform.pyx b/skimage/_shared/transform.pyx
index 8ce2ab67..9bdc6824 100644
--- a/skimage/_shared/transform.pyx
+++ b/skimage/_shared/transform.pyx
@@ -5,8 +5,8 @@
 cimport numpy as cnp
 
 
-cdef float integrate(cnp.ndarray[float, ndim=2,  mode="c"] sat,
-                     Py_ssize_t r0, Py_ssize_t c0, Py_ssize_t r1, Py_ssize_t c1):
+cdef float integrate(float[:, ::1] sat, Py_ssize_t r0, Py_ssize_t c0,
+                     Py_ssize_t r1, Py_ssize_t c1):
     """
     Using a summed area table / integral image, calculate the sum
     over a given window.