  We present the improved so-called Madmax (OMC) operator selecting maxima of
convexities computed in multiple directions around each pixel rewritten in
MatLab and shown to be very efficient for pattern recognition.
  The aim of the algorithm is to trace the bright hair-like features (for ex.
chromospheric thin jets or spicules) of solar ultimate observations polluted by
a noise of different origins. This popular spatial operator uses the second
derivative in the optimally selected direction for which its absolute value has
a maximum value. Accordingly, it uses the positivity of the resulting intensity
signal affected by a superposed noise. The results are illustrated using a test
artificially generated image and real SOT (Hinode) images are also used, to
make your own choice of the sensitive parameters to use in improving the
visibility of images.
