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Nov 25, 2017 at 9:51 comment added Laurent Duval There several potential discrete 1D gradient, and this one is the shortest. It provides a derivative estimate at the mid-point between two pixels
Nov 25, 2017 at 9:37 comment added Abc After re-reading this answer, it seems like haar filter [1 -1] is actually 1D gradient.
Nov 17, 2017 at 11:56 comment added Abc so it mean magnitude will be sqrt (vv + hh + d*d)
Mar 10, 2017 at 14:01 vote accept CpCd0y
Mar 10, 2017 at 8:10 history edited Laurent Duval CC BY-SA 3.0
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Mar 9, 2017 at 9:12 comment added CpCd0y Thanks for your answer. Could you elaborate more on the gradient part ? Is this why we have to compute the Euclidean distance between HL, LH and HH ?
Mar 7, 2017 at 11:59 history answered Laurent Duval CC BY-SA 3.0