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Censure Detector #35

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Censure Detector #35

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8fdf91c
Adds Core functions, datatypes and Filters for CENSURE
mronian Jun 29, 2016
1d4754c
Adds Filter Stack for OctagonalFilter
mronian Jul 1, 2016
01c4ba8
Adds FilterResponse for BoxFilter, Slant Integral Images for OctagonF…
mronian Jul 3, 2016
915aacd
Adds FilterResponse for OctagonFilter
mronian Jul 3, 2016
70440f8
Adds Feature Detection. Harris Suppression Left
mronian Jul 4, 2016
8eb0124
Adds tests for Filters, Integral Image, Responses
mronian Jul 27, 2016
3b4a68a
Working CENSURE
mronian Jul 28, 2016
53a06ba
changed Detector to Params
tejus-gupta Apr 30, 2017
c72c413
changed Detector to Params
tejus-gupta Apr 30, 2017
b069472
minor correction
tejus-gupta Apr 30, 2017
14d08b9
Added StarFilter
tejus-gupta Apr 30, 2017
3988e33
minor correction
tejus-gupta Apr 30, 2017
bc5347c
Added filter response for star filter
tejus-gupta May 1, 2017
eaf97f5
Added get_integral_image for star filter
tejus-gupta May 1, 2017
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Adds Feature Detection. Harris Suppression Left
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@mronian @tejus-gupta
mronian authored and tejus-gupta committed Apr 30, 2017
commit 70440f8f3aba2ada8b564f40e329c5854b32190c
15 changes: 14 additions & 1 deletion src/censure.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -214,10 +214,23 @@ function filterResponse(int_imgs::Tuple, OF::OctagonFilter)

end

function checkFeature()
end

CENSURE(; smallest::Integer = 1, largest::Integer = 7, filter::Type = BoxFilter, responseThreshold::Number = 0.15, lineThreshold::Number = 10) = CENSURE(smallest, largest, filter, getFilterStack(filter, smallest, largest), responseThreshold, lineThreshold)

function censure{T}(img::AbstractArray{T, 2}, params::CENSURE)
int_img = getIntegralImage(img, params.filter_stack[1])
responses = map(f -> filterResponse(int_img, f), params.filter_stack)
responses
# minima, maxima = extrema_filter(padarray(responses, [1, 1, 1], [1, 1, 1], "replicate"), Array(3, 3, 3))
# features = map(i -> (minima[i] == responses[i] || maxima[i] == responses[i]) && ( responses[i] > params.responseThreshold ), CartesianRange(size(responses)))
features = map(i -> checkFeature(), responses)
keypoints = Array{Keypoints}([])
scales = Array{Integer}([])
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Here too.

for scale in 1:(params.largest - params.smallest + 1)
rows, cols, _ = findnz(features[:, :, scale])
append!(keypoints, map((r, c) -> Keypoint(r, c), rows, cols)
append!(scales, ones(length(rows)) * scale)
end
keypoints, scales
end