Download Aspects of Image Processing and Compression by Peter W. Hawkes (Eds.) PDF

By Peter W. Hawkes (Eds.)

Advances in Imaging and Electron Physics merges long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The sequence beneficial properties prolonged articles at the physics of electron units (especially semiconductor devices), particle optics at low and high energies, microlithography, photograph technological know-how and electronic photo processing, electromagnetic wave propagation, electron microscopy, and the computing equipment utilized in some of these domain names.

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The binary values of the dummy inputs can be either 00 . . 0 or 11 . . 1. This implies that when the W numbers are ordered in ascending sequence, dl are placed to the extremes of this sequence. 2. Systolic Array Implementation for Soft Morphological Filtering a. , 1998b). The central pixel of the structuring element is its core, whereas the other eight pixels constitute its soft boundary. The inputs to this array are the nine pixels of the image window and the nine pixels of the soft morphological structuring element and a control signal MODE.

MUX1 L2 Adder . . . L2 Adder ... s1 L*1 . . s9 XNORs C in d1 L2 . . . . . L*1 XNORs L2 from the adder corresponding to the core pixel. p1 d8 L3 L4 . . . L3 L4 ... MUX2 L3 L4 . . . . . MUX2 L3 L4 . . . . . L11 ... L11 . . . L11 ... PE i1... i8 L**1 F/F L2 F/F CONTROL UNIT b9 b1 r0 MODE L11 ... k . . r1 t 1 L**4 . . r8 t 8 L**11 o1 PE o8 L*4 . . o9 L*11 pi : image data si : structuring element data di :dummy numbers Figure 10. Systolic array hardware structure implementing the majority gate technique for soft morphological filtering.

29) and (30), respectively. Vector soft opening and closing are defined similarly to their gray-scale counterparts. Vector soft morphology is compatible to gray-scale soft morphology. In vector soft morphology, as in gray-scale soft morphology, the restriction k ≤ min{Card(B)/2, Card(B2 )} for the order index k ensures that the nature of soft morphological operations is preserved. Moreover, primary and secondary operations of vector soft morphology are reduced to their gray-scale counterparts when they are applied to gray-scale images.

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