tesseract/ccstruct/statistc.h

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/**********************************************************************
* File: statistc.h (Formerly stats.h)
* Description: Class description for STATS class.
* Author: Ray Smith
* Created: Mon Feb 04 16:19:07 GMT 1991
*
* (C) Copyright 1991, Hewlett-Packard Ltd.
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
** http://www.apache.org/licenses/LICENSE-2.0
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
*
**********************************************************************/
#ifndef TESSERACT_CCSTRUCT_STATISTC_H_
#define TESSERACT_CCSTRUCT_STATISTC_H_
#include <stdio.h>
#include "host.h"
#include "scrollview.h"
// Simple histogram-based statistics for integer values in a known
// range, such that the range is small compared to the number of samples.
class STATS {
public:
// The histogram buckets are in the range
// [min_bucket_value, max_bucket_value_plus_1 - 1] i.e.
// [min_bucket_value, max_bucket_value].
// Any data under min_bucket value is silently mapped to min_bucket_value,
// and likewise, any data over max_bucket_value is silently mapped to
// max_bucket_value.
// In the internal array, min_bucket_value maps to 0 and
// max_bucket_value_plus_1 - min_bucket_value to the array size.
// TODO(rays) This is ugly. Convert the second argument to
// max_bucket_value and all the code that uses it.
STATS(inT32 min_bucket_value, inT32 max_bucket_value_plus_1);
STATS(); // empty for arrays
~STATS();
// (Re)Sets the range and clears the counts.
// See the constructor for info on max and min values.
bool set_range(inT32 min_bucket_value, inT32 max_bucket_value_plus_1);
void clear(); // empty buckets
void add(inT32 value, inT32 count);
// "Accessors" return various statistics on the data.
inT32 mode() const; // get mode of samples
double mean() const; // get mean of samples
double sd() const; // standard deviation
// Returns the fractile value such that frac fraction (in [0,1]) of samples
// has a value less than the return value.
double ile(double frac) const;
// Returns the minimum used entry in the histogram (ie the minimum of the
// data, NOT the minimum of the supplied range, nor is it an index.)
// Would normally be called min(), but that is a reserved word in VC++.
inT32 min_bucket() const; // Find min
// Returns the maximum used entry in the histogram (ie the maximum of the
// data, NOT the maximum of the supplied range, nor is it an index.)
inT32 max_bucket() const; // Find max
// Finds a more useful estimate of median than ile(0.5).
// Overcomes a problem with ile() - if the samples are, for example,
// 6,6,13,14 ile(0.5) return 7.0 - when a more useful value would be midway
// between 6 and 13 = 9.5
double median() const; // get median of samples
// Returns the count of the given value.
inT32 pile_count(inT32 value ) const {
if (value <= rangemin_)
return buckets_[0];
if (value >= rangemax_ - 1)
return buckets_[rangemax_ - rangemin_ - 1];
return buckets_[value - rangemin_];
}
// Returns the total count of all buckets.
inT32 get_total() const {
return total_count_; // total of all piles
}
// Returns true if x is a local min.
bool local_min(inT32 x) const;
// Apply a triangular smoothing filter to the stats.
// This makes the modes a bit more useful.
// The factor gives the height of the triangle, i.e. the weight of the
// centre.
void smooth(inT32 factor);
// Cluster the samples into max_cluster clusters.
// Each call runs one iteration. The array of clusters must be
// max_clusters+1 in size as cluster 0 is used to indicate which samples
// have been used.
// The return value is the current number of clusters.
inT32 cluster(float lower, // thresholds
float upper,
float multiple, // distance threshold
inT32 max_clusters, // max no to make
STATS *clusters); // array of clusters
// Prints a summary and table of the histogram.
void print() const;
// Prints summary stats only of the histogram.
void print_summary() const;
#ifndef GRAPHICS_DISABLED
// Draws the histogram as a series of rectangles.
void plot(ScrollView* window, // window to draw in
float xorigin, // origin of histo
float yorigin, // gram
float xscale, // size of one unit
float yscale, // size of one uint
ScrollView::Color colour) const; // colour to draw in
// Draws a line graph of the histogram.
void plotline(ScrollView* window, // window to draw in
float xorigin, // origin of histo
float yorigin, // gram
float xscale, // size of one unit
float yscale, // size of one uint
ScrollView::Color colour) const; // colour to draw in
#endif // GRAPHICS_DISABLED
private:
inT32 rangemin_; // min of range
// rangemax_ is not well named as it is really one past the max.
inT32 rangemax_; // max of range
inT32 total_count_; // no of samples
inT32* buckets_; // array of cells
};
// Returns the nth ordered item from the array, as if they were
// ordered, but without ordering them, in linear time.
// The array does get shuffled!
inT32 choose_nth_item(inT32 index, // index to choose
float *array, // array of items
inT32 count); // no of items
// Generic version uses a defined comparator (with qsort semantics).
inT32 choose_nth_item(inT32 index, // index to choose
void *array, // array of items
inT32 count, // no of items
size_t size, // element size
int (*compar)(const void*, const void*)); // comparator
// Swaps 2 entries in an array in-place.
void swap_entries(void *array, // array of entries
size_t size, // size of entry
inT32 index1, // entries to swap
inT32 index2);
#endif // TESSERACT_CCSTRUCT_STATISTC_H_