A MATLAB user recently asked in the MATLAB newsgroup how to fill "small" holes in a binary image. The function imfill can be used to fill all holes, but this user only wanted to fill holes... 더 읽어보기 >>
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Steve on Image Processing with MATLAB has been archived and will not be updated.
A MATLAB user recently asked in the MATLAB newsgroup how to fill "small" holes in a binary image. The function imfill can be used to fill all holes, but this user only wanted to fill holes... 더 읽어보기 >>
Last fall I wrote about a complaint some MATLAB users had about reading certain kinds of TIFF files. Specifically, some users have TIFF files that each contain tens of thousands of images—or... 더 읽어보기 >>
Today I want to show you a morphological operation called "opening by reconstruction." The normal morphological opening is an erosion followed by a dilation. The erosion "shrinks" an image... 더 읽어보기 >>
Some nonlinear image processing operations can be expressed in terms of linear filtering. When this is true, it often provides a recipe for a speedy MATLAB implementation.... 더 읽어보기 >>
Today I want to demonstrate a useful technique to produce a false-color visualization of different sets of binary image objects. Here's the sample image that we'll use: url =... 더 읽어보기 >>
Here's a very common question we receive: "How do I process a set of image files in a directory?" I first posted an example illustrating "batch processing" of a set... 더 읽어보기 >>
I thought I would finish my discussion of applylut and makelut by describing a performance optimization we implemented for version 6 (R2007b) of the Image Processing Toolbox.
A couple of years ago,... 더 읽어보기 >>
The June 2008 issue of Scientific American contains the article "Digital Image Forensics," by Hany Farid, Professor and Associate Chair of Computer Science at Dartmouth College. Professor Farid... 더 읽어보기 >>
Congratulations to the Phoenix team for a successful landing and deployment on Mars! Mission leadership: University of Arizona, Tucson Mission project management: NASA Jet Propulsion... 더 읽어보기 >>
This is the third post about using lookup tables to process binary images. The first two posts were: Introduction Basic... 더 읽어보기 >>