2011/04/30 by E. Tavabi, S. Koutchmy, A. Ajabshirizadeh · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Advanced Image Fusion Techniques #Anisotropy #Biology #Computer science #Computer vision #Filter (signal processing) #Geometry #Image Enhancement Techniques #Line (geometry) #Maxima #Optics #Physics #Pixel #Solar and Space Plasma Dynamics #Solar prominence #Sponge spicule #Visibility #astro-ph.SR
paper · pdf · doi:10.1007/s11207-012-0011-z
12 pages, 3 figurs, submitted in Solar Physics
arxiv created 2012/03/06 · openalex publication_date 2012/06/05 · arxiv updated 2015/05/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.