Haralick's Texture Features Computation Accelerated by GPUs for Biological Applications

Part 5, read from co-occurrence matrix Function 5A compute Pij and f3 Function 5B compute f4 Function 5C compute HXY1, f12, read from P Function 5D compute HXY2, f13, read from P only Dependency graph of the Haralick Texture Features used to derive the optimal order of computation Results of various implementations of the Haralick Texture Feature algorithm with seed up factors Haralick Texture Features (Features) we used and simplified for symmetrical Co-Matrices Parallel Feature computation on many Co-Matrices Each Co-Matrix is associated to one CUDA Block. Sparse filled Co-Matrices Left a full Co-Matrix (64 MBytes) and right a packed Co-Matrix (75 kBytes)