Sobel edge detection processor for a real-time volume rendering system
Why this work is in the frame
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Bibliographic record
Abstract
This paper describes a novel fast and low-power Sobel edge detection processor targeted for image processing and volume rendering applications. The Sobel processor was built as a part of the real-time shear-warp factorization volume rendering system to compute a gradient. Sobel operator processor was designed and implemented in 0.18 /spl mu/m CMOS technology. Optimizations made at the mathematical model led to a simple regular architecture. High speed and low power consumption were achieved due to implementation of pipelining and parallelism at the components level. Employing the non-full swing CPL to design the Sobel processor sub-components reduced the power-delay product up to 40%. Simulation results showed that processor achieved the worst-case delay time of 4.61 ns and dissipates an average of 8.24 mW at 1.8 V and 200 MHz.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it