Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Gradient problem

  1. Jun 17, 2006 #1
    I was wondering if anyone could help me with this rather arbitrary math problem.

    I need a description of what a gradient is in mostly non-math terms. I know a gradient is a sort of slope, but I don't understand where you would draw the line of what is and what is not a gradient. Meaning which slopes are and are not a gradient. Is this even calculable? I know "http://en.wikipedia.org/wiki/Gradient" [Broken] on it has some equations but I don't understand any of that.

    I am using this for an image processing project where the maximum pixel intensity value is 765 and minimum is 0. So for example is a sequence of pixels with the values 10,15,20,25 a gradient? I'd think so, but is 9,16,21,24 also a gradient? Where do you draw the line between gradient and non-gradient?

    Thanks a lot :)
    Last edited by a moderator: Apr 22, 2017 at 11:01 AM
  2. jcsd
  3. Jun 17, 2006 #2
    A gradient, in the mathematical sense, is a measure of how much a surface is changing. If you could imagine a small stretch of wavy ocean, you could plug in the x and y of any point on that section of ocean and you'd "get out" an arrow (a vector). That arrow will point in the steepest direction -- for example, for a climber standing at the foot of Everest, the gradient of the land at the climbers position is a vector that points UP at Everest. because from where he's standing, that's the steepest way he could go. It's hard to describe, but it's a vector Calculus topic. Loosely, though, a gradient is how something is changing from one place to another, over space. That means a lot of things can have gradients -- height, color, temperature, anything that can change from place to place.

    In your sense, a gradient is used in the color sense -- one color fading to another. It's arbitrary, and I don't see any reason why you should need to "define" a gradient. Indeed, if I interpret your numbers right, both of your examples are gradients, because the color changes over space. The former gradient might look smoother though.
    Last edited: Jun 17, 2006
  4. Jun 17, 2006 #3
    Perhaps try

    http://amath.colorado.edu/outreach/demos/hshi/2001Spr/snake/snake.html [Broken]
    "Visualizing calculus: The use of the gradient in image processing"

    A gradient is not a sequence of numbers, or a path. It is a vector at a single point, that describes the how the scalar function slopes there - in which direction it slopes, and how steeply it slopes. That's what a vector describes - a direction and a magnitude. This is of course multivariable calculus, and it will be of no use to you if you avoid the math. What is your background in calculus?
    Last edited by a moderator: Apr 22, 2017 at 11:01 AM
  5. Jun 17, 2006 #4
    Ok, that clears it up. It didn't make sense that gradients could not be arbitrarily defined, although it would make things a bit simpler :|

    Thanks a lot :-)
  6. Jun 17, 2006 #5
    None at all. However I don't think I need it. I am simply using gradients as one method of defining an edge within an image. The problem was figuring out where to draw the line of a single gradient and an edge. Since a gradient can be completely arbitrary, it looks like that cant be the only clue in finding edges.

    Thanks though, the link is helpful
    Last edited by a moderator: Apr 22, 2017 at 11:01 AM
  7. Jun 17, 2006 #6
    Well no. A mathematical gradient is different than the very specific type of gradient that you're talking about. In an image, a gradient is linear, so you could determine the beginning and end of it. It's an adopted use of the word "gradient." But since you were asking on a Math forum (and not a Photoshop forum), I assumed you wanted a definition of a gradient in general, and every image has a mathematical gradient.

    One warning: watch out for round-off errors. That could be a big pain.
    Last edited: Jun 17, 2006
Know someone interested in this topic? Share this thread via Reddit, Google+, Twitter, or Facebook

Similar Discussions: Gradient problem
  1. What are gradients? (Replies: 3)

  2. Stochastic gradient (Replies: 1)

  3. Gradient conversions (Replies: 3)