You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
92 lines
3.3 KiB
92 lines
3.3 KiB
4 months ago
|
# Configuration of the image library
|
||
|
|
|
||
|
|
######## 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
|