1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
|
function [imageIndex]=indexImages(imgSet,varargin)
// This function creates image search index
//
// Calling Sequence
// imageIndex = indexImages(imgSet, bagOfFeatures, Name, Value... );
//
// Parameters
// imgSet: Collection of images with their location and labels
// bagOfFeatures: Bag of Visual Words
// Verbose [Optional Input Argument]: Enable Progress display to Screen
// SaveFeatureLocations [Optional Input Argument]: A boolean value indicating whether feature locations has to be saved or not. Values: [True(default)|False]
// imageIndex: Search Index Object containing the mapping of visual vocabulary to each image in the image set
//
// Description
// Creates a search Index Object that has been mapped to visual words that can be used for retrieve Images
//
// Examples
// imgSet = imageSet(directory,'recursive');
// [trainingSet testSet] = partition(imgSet,[0.8]);
// bag = bagOfFeatures(trainingSet);
// imageindex = indexImages(trainingSet, bag);
//
// With Optional Arguments:
// imageindex = indexImages(trainingSet, bag, "Verbose", 1);
//
// Authors
// Umang Agrawal
// Rohit Suri
// Sridhar Reddy
[lhs rhs]=argn(0);
if rhs>6
error(msprintf(" Too many input arguments"));
end
imageSetList=imageSetStructToList(imageSet);
if modulo(lhs,2)==0
bagList=bagStructToList(varargin(1));
select rhs
case 1 then
[imageIndexList]=opencv_indexImages(imgSetList);
case 2 then
[imageIndexList]=opencv_indexImages(imgSetList,bagList);
case 3 then
[imageIndexList]=opencv_indexImages(imgSetList,varargin(1),varargin(2));
case 4 then
[imageIndexList]=opencv_indexImages(imgSetList,bagList,varargin(2),varargin(3));
case 5 then
[imageIndexList]=opencv_indexImages(imgSetList,varargin(1),varargin(2),varargin(3),varargin(4));
case 6 then
[imageIndexList]=opencv_indexImages(imgSetList,bagList,varargin(2),varargin(3),varargin(4),varargin(5));
end
endfunction
|
