Two more image visualization techniques to add to your bag of tricks. The peak into the pond, then out the southern end of the pond. Now it's easy to understand the water flow in the context of the original DEM image. Display the grid lines on top of the plot by setting the Layer property. Then set properties related to the grid, such as the GridColor, GridLineStyle, and GridAlpha properties. Modify the appearance of the grid lines by accessing the Axes object. Hold off % Use our influence map image as the AlphaData for the solid % green image. Change the color, line style, and transparency of grid lines for an area plot. Green = cat(3, zeros(size(E)), ones(size(E)), zeros(size(E))) Use the influence map pixels to control the transparency of each pixel of the green image.Display a solid green "image" on top of the original image.It's difficult to interpret the influence map image on its own, apart from the original DEM. MATLAB is a proprietary multi-paradigm programming language and numeric computing. I = imread( 'peppercorn_hill_influence_map.png') The bright blob at the upper left is Peppercorn Hill, and the flat, dark plateau in the upper middle is North Pond.īelow is an "influence map." This is a visualization of down-hill water flow, starting from the peak of Peppercorn Hill. Here's a digital elevation model (DEM) of Peppercorn Hill and North Pond in Massachusetts. I'll display an image that's a solid color, but I'll use anotherĭata set to vary the solid color image's transparency on a pixel-by-pixel basis. My second transparency example gets a bit more creative. This visualization technique is often used to evaluate image fusion algorithms. "checkerboard" transparency pattern, so that some of the pixels are fully opaque, and others are fully transparent.Īlpha_data = checkerboard(block_size, P, Q) > 0 It is possible to achieve by using an expression with depending variable as the dynamic input value for the input parameter ‘r’. That's because it's "covering up" the color image. MATLAB extends its feature for the function cylinder to create a cylinder object with multiple radius values for different faces of it. Not too surprisingly, only the gray-scale is visible. H = imshow(I) % Save the handle we'll need it later Use a "checkerboard" transparency pattern to view a gray-scale image on top of the original color image.įirst, display the color image and the gray-scale image together, in the same place. This can be used in various ways to view one image on top of another. rgb imread ( 'peppers.png' ) imshow (rgb) I rgb2gray (rgb) hold on h imshow (I) Save the handle we'll need. First, display the color image and the gray-scale image together, in the same place. In fact, each individual pixel can be assigned a different level In my first example for today, I'll use a 'checkerboard' transparency pattern to view a gray-scale image on top of the original color image. Handle Graphics image objects can be displayed transparently. I was embarrassed to discover recently that I had completely forgotten Of ways to display one image transparently over another. I meant to follow that up with another post showing a couple
MATLAB 2009 GRID ALPHA HOW TO
(Laser) 40 hours 1 hour Reduce simulation run time Polynomial coefficient approx.Last August I posted an example showing how to display patch objects transparently over an image. 75 hours Monte carlo simulations Coherent laser propagation sim.
MATLAB 2009 GRID ALPHA CODE
Hercules Metric TOM Code (Herc) 900 hours 0. 4 hours More complete parameter space sim. (Ladar) 1300 hours 1 hour Speckle image simulations Aimpoint and discrimination studies Analytic TOM Leakage Calc. (BMD) 2000 hours 8 hours Discrimination simulations Higher fidelity radar simulations First-principles LADAR Sim.
MATLAB 2009 GRID ALPHA SERIAL
Performance: Time to Parallelize Important Considerations Description Serial Code Time to Time Parallelize Applications that Parallelization Enables Missile & Sensor BMD Sim.