/
cluster.lisp
282 lines (265 loc) · 13.3 KB
/
cluster.lisp
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;;; Copyright (c) 2011 Cyrus Harmon, All rights reserved.
;;; See COPYRIGHT file for details.
(in-package :opticl)
;; normally we'd take the sqrt here, but since we're just comparing
;; distances, we can compare the squared distances, so we'll elide the
;; sqrt call.
(defun l2-distance (pixel1 pixel2)
(reduce #'+ (map 'vector (lambda (p q)
(let ((d (- p q)))
(* d d)))
pixel1 pixel2)))
(defun l2-distance-3 (pixel1a pixel1b pixel1c pixel2a pixel2b pixel2c)
(declare (type fixnum pixel1a pixel1b pixel1c pixel2a pixel2b pixel2c)
(optimize (speed 3) (safety 0)))
(let ((d1 (- pixel1a pixel2a))
(d2 (- pixel1b pixel2b))
(d3 (- pixel1c pixel2c)))
(declare (type fixnum d1 d2 d3))
(the fixnum (+ (the fixnum (* d1 d1))
(the fixnum (* d2 d2))
(the fixnum (* d3 d3))))))
(declaim (ftype (function (fixnum fixnum fixnum fixnum fixnum fixnum) fixnum) l2-distance-3))
(defun k-means-cluster-image-pixels (image k &key (max-iterations 20))
(declare (type fixnum k))
(typecase image
(8-bit-gray-image
(locally
(declare (type 8-bit-gray-image image))
(with-image-bounds (height width channels)
image
(let ((means (make-array k :element-type '(unsigned-byte 32) :initial-element 0))
(counts (make-array k :element-type 'fixnum))
(z (make-array (list height width) :element-type 'fixnum)))
(declare (type (simple-array (unsigned-byte 32) (*)) means)
(type (simple-array fixnum (*)) counts)
(type (simple-array fixnum (* *)) z))
(flet ((recompute-means ()
;; clear out the old values
(declare (optimize (speed 3))
(type 8-bit-gray-image image)
(type fixnum k))
(dotimes (q k)
(declare (type fixnum q))
(setf (aref means q) 0)
(setf (aref counts q) 0))
;; use the means vector first as an accumulator to hold
;; the sums for each channel, later we'll scale by (/
;; num-pixels)
(do-pixels (i j) image
(let ((m (aref z i j)))
(declare (type fixnum m))
(setf (aref means m)
(+ (pixel image i j) (aref means m)))
(let* ((cluster (aref z i j))
(cluster-count (aref counts cluster)))
(setf (aref counts cluster)
(logand most-positive-fixnum (1+ cluster-count))))))
(dotimes (q k)
(when (plusp (aref counts q))
(setf (aref means q)
(round (/ (aref means q) (aref counts q)))))))
(assign-to-means ()
(declare (optimize (speed 3))
(type 8-bit-gray-image image))
(do-pixels (i j) image
(setf (aref z i j)
(let (min-val nearest-mean)
(loop for q below k
do (let ((dist (let ((d (- (pixel image i j) (aref means q))))
(declare (type (signed-byte 16) d))
(the fixnum (* d d)))))
(when (or (null min-val) (< dist min-val))
(setf min-val dist
nearest-mean q))))
nearest-mean)))))
;; randomly assign pixel values to the k means
(loop for i below k
for y = (random height)
for x = (random width)
do (setf (aref means i)
(pixel image y x)))
(loop for iter below max-iterations
with stop = nil
with old-means
until stop
do
(assign-to-means)
(recompute-means)
(when (and old-means (equalp old-means means))
(setf stop t))
(setf old-means (copy-array means)))
(values means z))))))
(8-bit-rgb-image
(locally
(declare (type 8-bit-rgb-image image))
(with-image-bounds (height width channels)
image
(let ((means (make-array (list k 1 3)
:element-type '(unsigned-byte 32)))
(counts (make-array k :element-type 'fixnum))
(z (make-array (list height width) :element-type 'fixnum)))
(declare (type (simple-array fixnum (* *)) z)
(type 32-bit-rgb-image means))
(flet ((recompute-means ()
(declare (type (simple-array fixnum (* *)) z)
(type (simple-array fixnum (*)) counts)
(optimize (speed 3)))
;; clear out the old values
(dotimes (q k)
(setf (pixel means q 0) (values 0 0 0))
(setf (aref counts q) 0))
;; use the means vector first as an accumulator to hold
;; the sums for each channel, later we'll scale by (/
;; num-pixels)
(do-pixels (i j) image
(let ((m (aref z i j)))
(multiple-value-bind (v1 v2 v3)
(pixel image i j)
(multiple-value-bind (m1 m2 m3)
(pixel means m 0)
(setf (pixel means m 0)
(values
(+ v1 m1)
(+ v2 m2)
(+ v3 m3)))))
(let* ((cluster (aref z i j))
(cluster-count (aref counts cluster)))
(setf (aref counts cluster)
(logand #xffffffff (1+ cluster-count))))))
(dotimes (q k)
(when (plusp (aref counts q))
(multiple-value-bind (m1 m2 m3)
(pixel means q 0)
(let ((factor (aref counts q)))
(setf (pixel means q 0)
(values (truncate (/ m1 factor))
(truncate (/ m2 factor))
(truncate (/ m3 factor))))))))
(let ((new-means-list
(loop for count across counts
for i below k
collect (list count (pixel* means i 0)))))
(declare (type list new-means-list))
(loop for i fixnum below k
for (count mean) in (sort new-means-list #'> :key #'first)
do
(setf (pixel* means i 0) mean)
(setf (aref counts i) count))))
(assign-to-means ()
(declare (type 8-bit-rgb-image image)
(optimize (speed 3)))
(do-pixels (i j) image
(setf (aref z i j)
(let (min-val nearest-mean)
(loop for q below k
do (let ((dist (multiple-value-call #'l2-distance-3
(pixel image i j)
(pixel means q 0))))
(when (or (null min-val) (< dist min-val))
(setf min-val dist
nearest-mean q))))
nearest-mean)))))
;; randomly assign pixel values to the k means
(loop for i below k
for y = (random height)
for x = (random width)
do (setf (pixel means i 0)
(pixel image y x)))
(loop for iter below max-iterations
with stop = nil
with oldz
until stop
do
(assign-to-means)
(recompute-means)
(when (and oldz (equalp oldz z))
(setf stop t))
(setf oldz (copy-array z)))
(values means z))))))
(t
(with-image-bounds (height width channels)
image
(let ((means (make-array (append (list k 1) (if channels (list channels)))
:element-type '(unsigned-byte 32)))
(counts (make-array k :element-type 'fixnum))
(z (make-array (list height width) :element-type '(unsigned-byte 32))))
(declare (type (simple-array (unsigned-byte 32) (* *)) z))
(flet ((recompute-means ()
;; clear out the old values
(let ((zero (make-list (or channels 1) :initial-element 0)))
(dotimes (q k)
(setf (pixel* means q 0) zero)
(setf (aref counts q) 0)))
;; use the means vector first as an accumulator to hold
;; the sums for each channel, later we'll scale by (/
;; num-pixels)
(do-pixels (i j) image
(let ((m (aref z i j)))
(setf (pixel* means m 0)
(mapcar #'+
(multiple-value-list (pixel image i j))
(pixel* means m 0)))
(incf (aref counts (aref z i j)))))
(dotimes (q k)
(when (plusp (aref counts q))
(setf (pixel* means q 0)
(mapcar (lambda (x) (round (/ x (aref counts q))))
(pixel* means q 0) )))))
(assign-to-means ()
(typecase image
(gray-image
(locally
(declare (type gray-image image))
(do-pixels (i j) image
(setf (aref z i j)
(let (min-val nearest-mean)
(loop for q below k
do (let ((dist (let ((d (- (pixel image i j)
(pixel means q 0))))
(* d d))))
(when (or (null min-val) (< dist min-val))
(setf min-val dist
nearest-mean q))))
nearest-mean)))))
(rgb-image
(locally
(declare (type rgb-image image))
(do-pixels (i j) image
(setf (aref z i j)
(let (min-val nearest-mean)
(loop for q below k
do (let ((dist (multiple-value-call #'l2-distance-3
(pixel image i j)
(pixel means q 0))))
(when (or (null min-val) (< dist min-val))
(setf min-val dist
nearest-mean q))))
nearest-mean)))))
(t (do-pixels (i j) image
(setf (aref z i j)
(let (min-val nearest-mean)
(loop for q below k
do (let ((dist (l2-distance (pixel* image i j)
(pixel* means q 0))))
(when (or (null min-val) (< dist min-val))
(setf min-val dist
nearest-mean q))))
nearest-mean)))))))
;; randomly assign pixel values to the k means
(loop for i below k
for y = (random height)
for x = (random width)
do (setf (pixel means i 0)
(pixel image y x)))
(loop for iter below max-iterations
with stop = nil
with oldz
until stop
do
(assign-to-means)
(recompute-means)
(when (and oldz (equalp oldz z))
(setf stop t))
(setf oldz (copy-array z)))
(values means z)))))))