# Configuration of the image library (included by cf/sherlock)

######## General parameters #####################################################

ImageLib {

# Default tracing level (0 to disable)
Trace			0

# 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 {

# 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 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 by the simple "average" method (see ImageSig.CompareMethod).
MinWidth		16
MinHeight		16

# 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 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 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 decreses/increses up to 128+BorderSize.
BorderSize		0.4
BorderBonus		-50

# Scaling constants for computation of normalized i-th order inertia features (I1, I2, I3).
InertiaScale		2 0.5 0.05

# Threshold for detecting textured images (see images/sig-txt.c for details).
# Decrease the threshold if you want less detected textures,
# set it to zero to disable the algorithm completely.
TexturedThreshold	0.32

# Signature comparison method:
#
#   integrated
#	based on: James Z. Wang, Jia Li and Gio Wiederhold,
#	"SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries",
#	IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 9, pp. 947-963, 2001.
#
#   fuzzy (unstable and unbalanced parameters)
#	based on: Yixin Chen and James Z. Wang,
#	"A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval",
#	IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1252-1267, 2002.
#
#   average
#	Simple distance of image features averages (ignores segmentation).
#
CompareMethod		integrated

# 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

}

#endif
#ifdef CONFIG_IMAGES_DUP
######## Duplicate finder #######################################################

ImageDup {
# Detection of image duplicates does not work yet.
}
#endif