diff --git a/bob/bio/vein/database/putvein.py b/bob/bio/vein/database/putvein.py
index b4f972b06b2b1b14e3d53a4584b4f4d472dda3e6..8f993d9b6ba1aab93174d574e137145bb93aedc1 100644
--- a/bob/bio/vein/database/putvein.py
+++ b/bob/bio/vein/database/putvein.py
@@ -8,9 +8,35 @@ framework).
"""
from bob.bio.base.database import BioFile, BioDatabase
-import bob.ip.color
import numpy as np
+#TODO: I know this is not DRY recommended, but that's life
+# I might move this to a proper package.
+def rgb_to_gray(image):
+ """
+ Converts an RGB image to a grayscale image.
+ The formula is:
+ GRAY = 0.299 * R + 0.587 * G + 0.114 * B
+
+
+ Parameters
+ ----------
+
+ image : numpy.ndarray
+ An image in RGB format (channels first): For an ND array (N >= 3),
+
+
+ """
+
+ assert image.ndim == 3, "The image should have 3 dimensions"
+
+ R = image[0, :, :]
+ G = image[1, :, :]
+ B = image[2, :, :]
+
+ return 0.299 * R + 0.587 * G + 0.114 * B
+
+
class File(BioFile):
"""
@@ -38,7 +64,7 @@ class File(BioFile):
"""
color_image = self.f.load(directory=directory,
extension=extension)
- grayscale_image = bob.ip.color.rgb_to_gray(color_image)
+ grayscale_image = rgb_to_gray(color_image)
grayscale_image = np.rot90(grayscale_image, k=3)
return grayscale_image
diff --git a/bob/bio/vein/extractor/LocalBinaryPatterns.py b/bob/bio/vein/extractor/LocalBinaryPatterns.py
deleted file mode 100644
index 2adb4482c144e74e2a07b63793375aa2a689759e..0000000000000000000000000000000000000000
--- a/bob/bio/vein/extractor/LocalBinaryPatterns.py
+++ /dev/null
@@ -1,125 +0,0 @@
-#!/usr/bin/env python
-# vim: set fileencoding=utf-8 :
-
-import numpy
-
-import bob.ip.base
-import bob.io.base
-
-from bob.bio.base.extractor import Extractor
-
-
-class LocalBinaryPatterns (Extractor):
- """LBP feature extractor
-
- Parameters fixed based on L. Mirmohamadsadeghi and A. Drygajlo. Palm vein
- recognition using local texture patterns, IET Biometrics, pp. 1-9, 2013.
- """
-
- def __init__(
- self,
- # Block setup
- block_size = 59, # one or two parameters for block size
- block_overlap = 15, # one or two parameters for block overlap
- # LBP parameters
- lbp_radius = 7,
- lbp_neighbor_count = 16,
- lbp_uniform = True,
- lbp_circular = True,
- lbp_rotation_invariant = False,
- lbp_compare_to_average = False,
- lbp_add_average = False,
- # histogram options
- sparse_histogram = False,
- split_histogram = None,
- ):
-
- # call base class constructor
- Extractor.__init__(
- self,
- # Block setup
- block_size = block_size,
- block_overlap = block_overlap,
- #LBP parameters
- lbp_radius = lbp_radius,
- lbp_neighbor_count = lbp_neighbor_count,
- lbp_uniform = lbp_uniform,
- lbp_circular = lbp_circular,
- lbp_rotation_invariant = lbp_rotation_invariant,
- lbp_compare_to_average = lbp_compare_to_average,
- lbp_add_average = lbp_add_average,
- sparse_histogram = sparse_histogram,
- split_histogram = split_histogram,
- )
-
- # block parameters
- self.m_block_size = block_size if isinstance(block_size, (tuple, list)) else (block_size, block_size)
- self.m_block_overlap = block_overlap if isinstance(block_overlap, (tuple, list)) else (block_overlap, block_overlap)
- if self.m_block_size[0] < self.m_block_overlap[0] or self.m_block_size[1] < self.m_block_overlap[1]:
- raise ValueError("The overlap is bigger than the block size. This won't work. Please check your setup!")
-
- self.m_lbp = bob.ip.base.LBP(
- neighbors = lbp_neighbor_count,
- radius = float(lbp_radius),
- circular = lbp_circular,
- to_average = lbp_compare_to_average,
- add_average_bit = lbp_add_average,
- uniform = lbp_uniform,
- rotation_invariant = lbp_rotation_invariant,
- border_handling = 'wrap',
- )
-
-
- self.m_split = split_histogram
- self.m_sparse = sparse_histogram
- if self.m_sparse and self.m_split:
- raise ValueError("Sparse histograms cannot be split! Check your setup.")
-
-
- def __fill__(self, lbphs_array, lbphs_blocks, j):
- """Copies the given array into the given blocks"""
-
- # fill array in the desired shape
- for b in range(self.m_n_blocks):
- lbphs_array[b * self.m_n_bins : (b+1) * self.m_n_bins] = lbphs_blocks[b][:]
-
-
- def lbp_features(self, finger_image, mask):
- """Computes and returns the LBP features for the given input fingervein
- image"""
-
- finger_image = finger_image.astype(numpy.float64)
-
- finger_mask = numpy.zeros(mask.shape)
- finger_mask[mask == True] = 1
-
- # Mask the vein image with the finger region
- finger_image = finger_image*finger_mask
-
- # Computes LBP histograms
- abs_blocks = bob.ip.base.lbphs(finger_image, self.m_lbp, self.m_block_size, self.m_block_overlap)
-
- # Converts to Blitz array (of different dimensionalities)
- self.m_n_bins = abs_blocks.shape[1]
- self.m_n_blocks = abs_blocks.shape[0]
-
- shape = self.m_n_bins * self.m_n_blocks
-
- # create new array
- lbphs_array = numpy.zeros(shape, 'float64')
-
- # fill the array with the absolute values of the Gabor wavelet transform
- self.__fill__(lbphs_array, abs_blocks, 0)
-
- # return the concatenated list of all histograms
- return lbphs_array
-
-
- def __call__(self, image):
- """Reads the input image, extract the features based on LBP of the fingervein image, and writes the resulting template"""
- #For debugging
-
- finger_image = image[0] #Normalized image with histogram equalization
- finger_mask = image[1]
-
- return self.lbp_features(finger_image, finger_mask)
diff --git a/bob/bio/vein/extractor/__init__.py b/bob/bio/vein/extractor/__init__.py
index afd52d096a2f4237817de10f43cc3a47c994ec5b..559d6f56bc6a135be2d98e67f6ffc28591eb239f 100644
--- a/bob/bio/vein/extractor/__init__.py
+++ b/bob/bio/vein/extractor/__init__.py
@@ -1,4 +1,3 @@
-from .LocalBinaryPatterns import LocalBinaryPatterns
from .NormalisedCrossCorrelation import NormalisedCrossCorrelation
from .PrincipalCurvature import PrincipalCurvature
from .RepeatedLineTracking import RepeatedLineTracking
diff --git a/conda/meta.yaml b/conda/meta.yaml
index 7c9b0e12177cfe96bfc2be9ccc62ff81d591dfc9..a853a8f3d5b823558bcf5f70558f13963325b5f6 100644
--- a/conda/meta.yaml
+++ b/conda/meta.yaml
@@ -35,9 +35,6 @@ requirements:
- bob.extension
- bob.core
- bob.io.base
- - bob.io.image
- - bob.ip.base
- - bob.ip.color
- bob.bio.base
run:
diff --git a/requirements.txt b/requirements.txt
index 8a9e371c9caba8ae0dd5d31d75eb72ebd3b50f62..a77ceeeb175640f9f84a55b5aee528cbea7f0e53 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,7 +9,4 @@ matplotlib
bob.extension
bob.core
bob.io.base
-bob.io.image
-bob.ip.base
-bob.ip.color
bob.bio.base