代码搜索：thresholded
找到约 53 项符合「thresholded」的源代码
代码结果 53
www.eeworm.com/read/464676/7067485
m susan_threshold.m
function thresholded = susan_threshold(image,threshold)
[a b]=size(image);
intensity_center = image((a+1)/2,(b+1)/2);
temp1 = (image-intensity_center)/threshold;
temp2 = temp1.^6;
threshold
www.eeworm.com/read/464676/7067486
m susan.m
function image_out = susan(im,threshold)
close all
clc
% check to see if the image is a color image...
d = length(size(im));
if d==3
image=double(rgb2gray(im));
elseif d==2
image=doubl
www.eeworm.com/read/227464/14424142
cc results.cc
//
// Results.cc Storage class for tracking results.
//
// results from tracking will be added by the individual trackers
//
// .cc file created from .h nts Tue Apr 16 16:29:32 BST 2002
//
#includ
www.eeworm.com/read/417857/2096472
txt dotmatcher.txt
dotmatcher
Function
Displays a thresholded dotplot of two sequences
Description
A dotplot is a graphical representation of the regions of similarity
be
www.eeworm.com/read/259941/11756500
m demo.m
clc
disp(['Power Spectrum Estimation Via Thresholded Cepstrum Demonstration'])
disp(['Code by Steve Lutes, concept from "Smoothed Nonparametric'])
disp(['Spectral Estimation Via Cepstrum Thresholding"
www.eeworm.com/read/367152/9779946
m lans_poseimg.m
% lans_poseimg - Load/display a scaled/thresholded pose image
%
% [simg,gimg,rgbimg,plotit]= lans_poseimg(dpath,prefix,ele,rot,options)
%
% _____OUTPUTS________________________________________________
www.eeworm.com/read/280970/10276171
readme
The program implements three large-margin thresholded ensemble
algorithms for ordinal regression. It includes an improved RankBoost
algorithm, the ORBoost-LR algorithm, and the ORBoost-All algorithm.
www.eeworm.com/read/371255/9559541
m hysthresh.m
% HYSTHRESH - Hysteresis thresholding
%
% Usage: bw = hysthresh(im, T1, T2)
%
% Arguments:
% im - image to be thresholded (assumed to be non-negative)
% T1 - upper threshold
www.eeworm.com/read/280970/10276162
cpp boostrank-predict.cpp
/**
boostrank-predict.cpp: main file for performing ordinal regression testing
with thresholded ensemble models
(c) 2006-2007 Hsuan-Tien Lin
**/
#include
#include
#includ
www.eeworm.com/read/280970/10276186
cpp boostrank-train.cpp
/**
boostrank-train.cpp: main file for performing ordinal regression training
with various thresholded ensemble algorithms
(c) 2006-2007 Hsuan-Tien Lin
**/
#include
#include