MATLAB Image Processing

Dibatalkan Disiarkan Jun 27, 2013 Dibayar semasa penghantaran
Dibatalkan Dibayar semasa penghantaran

Extend an existing MATLAB script that performs k-means cluster analysis for image segmentation to:

1) Convert centroid colors from LAB a*,b* color to RGB; assuming mid-range luminance;

2) Calculate the variance for each cluster

3) For each cluster, plot the color of each pixel of the input image onto an xy plot with axes a* and b*. That is, for the "gold" partition, take all of the pixels in the input image that are labeled "gold" and plot their color on a graph with axes a* and b*.

The attached MATLAB script performs k-means cluster analysis to segment images. This is nearly verbatim from

[url removed, login to view]

and it relies on the Statistics Toolbox.

An example image is included.

This is a work-for-hire and all intellectual property right are assigned to me.

For someone who knows that they are doing, this should be a couple hours work, max. Difficulties I've run into:

1) Centroid is returned as a*,b* from LAB color space. However, the values of a*,b* are out of the expected range of about [-110,110]. Therefore, conversion back to RGB doesn't work.

2) Logical indexing of matrices is new to me (in MATLAB). When I try to calculate the variance, I have mismatched argument sizes.

Kejuruteraan Matematik Kejuruteraan Perisian

ID Projek: #4668698

Tentang projek

1 cadangan Projek jarak jauh Aktif Jun 27, 2013

1 pekerja bebas membida secara purata $111 untuk pekerjaan ini

beautifulangels

hi i can help

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