+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