ImageLib {
# Default tracing level (0 to disable)
-Trace 0
+Trace 0
-# Limits for image allocation. ImageMaxDim must be less than 1<<16.
-ImageMaxDim 0xffff
-ImageMaxBytes 256M
+# Limits for image allocation
+ImageMaxDim 0xffff # Maximum width/height (at most 64k-1)
+ImageMaxBytes 256M # Maximum size in bytes
}
+#if CONFIG_IMAGES_DUP || CONFIG_IMAGES_SIM
######## Image signatures #######################################################
ImageSig {
-# Sherlock use regions based image comparision to search similar images.
-# To enable this feature, enable imagesig analyser to extract
-# various regions features needed for comparisions. Sets of these features
-# are called "image signature" and there are stored in attributes 'H'.
+# To find similar images, Sherlock uses comparison based on regions.
+# First of all, the imagesim analyser extracts various region features.
+# Sets of these features are called "image signatures" and they are stored
+# in the `H' attribute of image objects.
-# Signatures are later processed by chewer to build an effective
-# search structure finally used by images. See Indexer and Search
+# Signatures are later processed by the indexer to build an effective
+# search structure finally used by the search server. See Indexer and Search
# sections for more options.
-
# Minimum image size to apply segmentation. Smaller images are always
-# compared with simple "average" method (see ImageSig.CompareMethod).
-MinWidth 16
-MinHeight 16
+# compared by the simple "average" method (see ImageSig.CompareMethod).
+MinWidth 16
+MinHeight 16
-# List of subdivision thresholds in first phase of segmentation.
-# Lower the values to increase average number of regions and vice versa.
+# List of subdivision thresholds in the first phase of segmentation.
+# Lower the values to increase the average number of regions and vice versa.
PreQuantThresholds 6 12 15 20 25 25 30 30 40 40 50 50 60 60 60
-# Settings for second phase of segmentation - usually not so important.
-# We use iterative algorithm to improve average error from the first phase.
+# Settings for the second phase of segmentation -- usually not so important.
+# We use an iterative algorithm to improve the average error from the first phase.
# We stop the process after PostQuantMaxSteps or if we get only PostQuantThreshold
-# percentual improvement in comparision with the previous step.
+# percentual improvement over the previous step.
PostQuantMinSteps 2
PostQuantMaxSteps 10
PostQuantThreshold 1
# BorderBonus and BorderSize parameters can increase or decrease the weight
# of image pixels near the borders. Weight of all pixels more than BorderSize * MIN(cols, rows)
-# pixels far from the edges is 128. Then this value continuously decrese/increse up to 128+BorderSize.
+# pixels far from the edges is 128. Then this value continuously decreses/increses up to 128+BorderSize.
BorderSize 0.4
BorderBonus -50
# set it to zero to disable the algorithm completely.
TexturedThreshold 0.32
-# Signatures comparision method (integrated|fuzzy|average):
+# Signature comparison method:
#
# integrated
# based on: James Z. Wang, Jia Li and Gio Wiederhold,
#
CompareMethod integrated
-# Array of multiplicative constants in feature vectors distance computation
+# Array of multiplicative constants in feature vector distance computation
# (L, u, v, LH, HL, HH, I1, I2, I3, X, Y). Each one must be an integer in range 0..15, default is 4.
CompareFeaturesWeights 4 6 6 4 4 4 4 4 4 4 4
}
-######## Duplicates finder ######################################################
+#endif
+#ifdef CONFIG_IMAGES_DUP
+######## Duplicate finder #######################################################
ImageDup {
-# Image duplicates do not work yet.
+# Detection of image duplicates does not work yet.
}
-
+#endif
projects / libucw.git / blobdiff