- #HIST MATLAB 2014A HOW TO#
- #HIST MATLAB 2014A UPDATE#
#HIST MATLAB 2014A HOW TO#
If you use our codes, please cite our papers. Save a Histogram in MATLAB Bivariate Histogram in MATLAB In this tutorial, we will discuss how to plot a histogram of given data using the histogram() and histogram2() function in MATLAB. These images can be downloaded from the dataset homepages or the following links. Other files have been saved as mat-files. Our software only needs the images on datasets.
#HIST MATLAB 2014A UPDATE#
Please load the default parameters and update the paths of the test images in "default_parameters.m". CurveAlign for Fibrillar Collagen Quantification (Current version-V4.0 Beta, newest version-V5.0 Beta is available for testing )CurveAlign is a quantitative tool for interpreting the regional interaction between collagen and tumors by assessment of up to thirty stromal fiber features, including angle, alignment, and density. You should have received a copy of the GNU General Public LicenseĪlong with this program if not, write to the Free Softwareįoundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. GNU General Public License for more details. MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. This program is distributed in the hope that it will be useful,īut WITHOUT ANY WARRANTY without even the implied warranty of Of the License, or (at your option) any later version. Modify it under the terms of the GNU General Public LicenseĪs published by the Free Software Foundation either version 2 This program is free software you can redistribute it and/or Lastly, we propose hierarchical sorting to further leverage the ranking performance, according to the local contrast analysis between the inside and straddling superpixels of the object proposal windows. 
the color-texture consistence) are considered simultaneously for objectness characterization. Secondly, more descriptive visual features (i.e. It helps to analyze the potential sizes of the objects. First, the concept of scale-sets histogram is novelly introduced. To reduce the false positive rate, an effective and efficient cascade ranking method is proposed to refine BING.
The code has been test on 64-bit Windows 7 and 64-bit Windows 10 systems respectively. The software was developed under windows with Matlab 2014a and VS2013. CascadeRanking-v1.0-# Refine BING using Effective Cascade Ranking V1.0
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