tailieunhanh - Báo cáo hóa học: " Research Article Nearest Neighborhood Grayscale Operator for Hardware-Efficient Microscale Texture Extraction"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Nearest Neighborhood Grayscale Operator for Hardware-Efficient Microscale Texture Extraction | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 52630 10 pages doi 2007 52630 Research Article Nearest Neighborhood Grayscale Operator for Hardware-Efficient Microscale Texture Extraction Christian Mayr1 and Andreas Konig2 1 TUDresden Lehrstuhl Hochparallele VLSI-Systeme und Neuromikroelektronik Helmholtzstrafie 10 01062 Dresden Germany 2 TUKaiserslautern FB Elektrotechnik und Informationstechnik Lehrstuhl Integrierte Sensorsysteme Erwin-Schrodinger-Strafie 67663 Kaiserslautern Germany Received 23 November 2005 Revised 1 August 2006 Accepted 10 September 2006 Recommended by Montse Pardas First-stage feature computation and data rate reduction play a crucial role in an efficient visual information processing system. Hardware-based first stages usually win out where power consumption dynamic range and speed are the issue but have severe limitations with regard to flexibility. In this paper the local orientation coding LOC a nearest neighborhood grayscale operator is investigated and enhanced for hardware implementation. The features produced by this operator are easy and fast to compute compress the salient information contained in an image and lend themselves naturally to various medium-to-high-level postprocessing methods such as texture segmentation image decomposition and feature tracking. An image sensor architecture based on the LOC has been elaborated that combines high dynamic range HDR image aquisition feature computation and inherent pixel-level ADC in the pixel cells. The mixed-signal design allows for simple readout as digital memory. Copyright 2007 C. Mayr and A. Konig. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION In today s integrated vision systems their speed accuracy power consumption and complexity depend .