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91 lines
3.3 KiB
91 lines
3.3 KiB
# Configuration of the image library
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######## General parameters #####################################################
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ImageLib {
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# Default tracing level (0 to disable)
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Trace 0
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# Limits for image allocation
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ImageMaxDim 0xffff # Maximum width/height (at most 64k-1)
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ImageMaxBytes 256M # Maximum size in bytes
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}
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#if CONFIG_IMAGES_DUP || CONFIG_IMAGES_SIM
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######## Image signatures #######################################################
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ImageSig {
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# To find similar images, Sherlock uses comparison based on regions.
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# First of all, the imagesim analyser extracts various region features.
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# Sets of these features are called "image signatures" and they are stored
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# in the `H' attribute of image objects.
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# Signatures are later processed by the indexer to build an effective
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# search structure finally used by the search server. See Indexer and Search
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# sections for more options.
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# Minimum image size to apply segmentation. Smaller images are always
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# compared by the simple "average" method (see ImageSig.CompareMethod).
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MinWidth 16
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MinHeight 16
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# List of subdivision thresholds in the first phase of segmentation.
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# Lower the values to increase the average number of regions and vice versa.
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PreQuantThresholds 6 12 15 20 25 25 30 30 40 40 50 50 60 60 60
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# Settings for the second phase of segmentation -- usually not so important.
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# We use an iterative algorithm to improve the average error from the first phase.
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# We stop the process after PostQuantMaxSteps or if we get only PostQuantThreshold
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# percentual improvement over the previous step.
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PostQuantMinSteps 2
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PostQuantMaxSteps 10
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PostQuantThreshold 1
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# BorderBonus and BorderSize parameters can increase or decrease the weight
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# of image pixels near the borders. Weight of all pixels more than BorderSize * MIN(cols, rows)
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# pixels far from the edges is 128. Then this value continuously decreses/increses up to 128+BorderSize.
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BorderSize 0.4
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BorderBonus -50
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# Scaling constants for computation of normalized i-th order inertia features (I1, I2, I3).
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InertiaScale 2 0.5 0.05
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# Threshold for detecting textured images (see images/sig-txt.c for details).
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# Decrease the threshold if you want less detected textures,
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# set it to zero to disable the algorithm completely.
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TexturedThreshold 0.32
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# Signature comparison method:
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#
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# integrated
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# based on: James Z. Wang, Jia Li and Gio Wiederhold,
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# "SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries",
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# IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 9, pp. 947-963, 2001.
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#
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# fuzzy (unstable and unbalanced parameters)
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# based on: Yixin Chen and James Z. Wang,
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# "A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval",
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# IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1252-1267, 2002.
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#
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# average
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# Simple distance of image features averages (ignores segmentation).
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#
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CompareMethod integrated
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# Array of multiplicative constants in feature vector distance computation
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# (L, u, v, LH, HL, HH, I1, I2, I3, X, Y). Each one must be an integer in range 0..15, default is 4.
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CompareFeaturesWeights 4 6 6 4 4 4 4 4 4 4 4
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}
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#endif
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#ifdef CONFIG_IMAGES_DUP
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######## Duplicate finder #######################################################
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ImageDup {
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# Detection of image duplicates does not work yet.
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}
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#endif
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