No abstract

This paper presents the MIPA4k, a 64x64 cell mixed-mode image processor array chip. The processor cell includes an image sensor, A/D/A conversion, embedded digital and analog memories and hardwareoptimized grayscale and binary processing cores. This paper presents the architecture of the processor cell and the different functional hardware. The processor has been manufactured in a 0.13 micron CMOS technology and the chip size is 5.1x4.5 mm 2 with a cell area of 72x61 µm 2 .978-1-4244-3828-0/09/$25.00 ©2009 IEEE

No abstract

No abstract

The research reported in this paper focuses on the modeling of Local Binary Patterns (LBPs) and presents an a priori model where LBPs are considered as combinations of permutations. The aim is to increase the understanding of the mechanisms related to the formation of uniform LBPs. Uniform patterns are known to exhibit high discriminative capability; however, so far the reasons for this have not been fully explored. We report an observation that although the overall a priori probability of uniform LBPs is high, it is mostly due to the high probability of only certain classes of patterns, while the a priori probability of other patterns is very low. In order to examine this behavior, the relationship between the runs up and down test for randomness of permutations and the uniform LBPs was studied. Quantitative experiments were then carried out to show that the relative effect of uniform patterns to the LBP histogram is strengthened with deterministic data, in comparison with the i.i.d. model. This was verified by using an a priori model as well as through experiments with natural image data. It was further illustrated that specific uniform LBP codes can also provide responses to salient shapes, that is, to monotonically changing intensity functions and edges within the image microstructure.