The precise meaning of “local” is very important here. If the maxima of Eq. (19.2) are found over a 2D neighborhood, the result is a set of isolated points rather than the desired edge contours. The problem stems from the fact that the gradient magnitude is seldom constant along a giv...
Meaning custom modification can be difficult. If you have any specific use case feel free to reach out at any time! Post Processing is never for free in terms of performance on weak devices. For the Example scenes i also used my other shader "MK Edge Detection" for all my media. ...
Most human gradient coils have specifications of better than 2% linearity over a 40 cm sphere (meaning that the gradient error is within 2% of its nominal value over this volume). It should be noted, however, that a 2% gradient error can translate into a much more significant positional ...
댓글을 달려면 로그인하십시오. Jan2011년 8월 25일 0 링크 번역 If you implement an algorithm in MATLAB (or any other programming language), the meaning of the values does not matter: chromosomes, dollars or pixel colors - all are just numbers. Explaining...
Meaning "sobel" Sobel gradient operator. The gradient of a pixel is a weighted sum of pixels in the 3-by-3-by-3 neighborhood. For example, in the depth (z) direction, the weights in the three planes are: planez-1planezplanez+1 ...
Meaning "sobel" Sobel gradient operator. The gradient of a pixel is a weighted sum of pixels in the 3-by-3-by-3 neighborhood. For example, in the depth (z) direction, the weights in the three planes are: planez-1planezplanez+1 ...
In the domain of dimension reduction, feature selection and feature transformation are different approaches. Feature selection refers to techniques that select a subset of the dimensions and discard the rest. This retains semantic meaning within the chosen data while avoiding the loss of information fro...
It is worth notice that the slope of the curve in those first curve segments is basically the same, meaning that the elastic modulus of the sample is almost the same and that the material preserves its own stiffness in this range. This trend in the first part of the stress-strain curve ...
although I struggle to interpret the substantial meaning of the clustering pattern from time to time. In short, machine learning is no panacea. Its strongest suit is classification with discrete answers. When it comes to predicting stock price tomorrow or computing basic reproduction number yesterday...
Gradient Boost is considered to be a black-box model, meaning it is difficult to interpret what is happening inside the model (Friedman, 2001). Finally, Gradient Boosting learns the new model very quickly, which leads to over-fitting. This can be addressed by slowing the learning using a ...