Post updated on September 4 based on feedback from Cris Luengo's comment. Today I'm starting a new series covering some of the concepts underlying algorithms for performing morphological... 更多内容 >>

Transparent graphics objects can be used effectively to visualize image processing concepts. Two particularly useful techniques are: Highlighting image... 更多内容 >>

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... 更多内容 >>

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... 更多内容 >>

I'd like to welcome back guest blogger Stan Reeves, professor of Electrical and Computer Engineering at Auburn University, for another in his series of posts on image... 更多内容 >>

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... 更多内容 >>

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.... 更多内容 >>

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 =... 更多内容 >>

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... 更多内容 >>

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,... 更多内容 >>