Colour image segmentation: a survey
Abstract: "Image segmentation, i.e. identification of homogeneous regions in the image, has been the subject of considerable research activity over the last three decades. Many algorithms have been elaborated for gray scale images. However, the problem of segmentation for colour images, which c...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | German English |
| Veröffentlicht: |
Berlin
Techn. Univ. Berlin, Fachbereich 13, Informatik
1994
|
| Schriftenreihe: | Technische Universität <Berlin> / Fachbereich Informatik: Bericht
1994,32 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | Abstract: "Image segmentation, i.e. identification of homogeneous regions in the image, has been the subject of considerable research activity over the last three decades. Many algorithms have been elaborated for gray scale images. However, the problem of segmentation for colour images, which convey much more information about objects in scenes, has received much less attention of [sic] scientific community. While several surveys of monochrome image segmentation techniques were published, similar comprehensive surveys for colour images, to our knowledge, did not emerge. This report contains: an extensive survey of algorithms for colour image segmentation, a categorization of them according [sic] well defined list of attributes, suggestions for their improvements, and descriptions of few [sic] novel approaches." |
| Beschreibung: | Literaturverz. S. 74 - 80 |
| Beschreibung: | 80 S. graph. Darst. |
Internformat
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| 100 | 1 | |a Skarbek, Władysław |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Colour image segmentation |b a survey |c Władysław Skarbek ; Andreas Koschan |
| 264 | 1 | |a Berlin |b Techn. Univ. Berlin, Fachbereich 13, Informatik |c 1994 | |
| 300 | |a 80 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Technische Universität <Berlin> / Fachbereich Informatik: Bericht |v 1994,32 | |
| 500 | |a Literaturverz. S. 74 - 80 | ||
| 520 | 3 | |a Abstract: "Image segmentation, i.e. identification of homogeneous regions in the image, has been the subject of considerable research activity over the last three decades. Many algorithms have been elaborated for gray scale images. However, the problem of segmentation for colour images, which convey much more information about objects in scenes, has received much less attention of [sic] scientific community. While several surveys of monochrome image segmentation techniques were published, similar comprehensive surveys for colour images, to our knowledge, did not emerge. This report contains: an extensive survey of algorithms for colour image segmentation, a categorization of them according [sic] well defined list of attributes, suggestions for their improvements, and descriptions of few [sic] novel approaches." | |
| 650 | 4 | |a Image processing | |
| 650 | 0 | 7 | |a Farbbild |0 (DE-588)4153689-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Segmentierung |0 (DE-588)4180694-3 |2 gnd |9 rswk-swf |
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| 689 | 0 | |5 DE-188 | |
| 700 | 1 | |a Koschan, Andreas |e Verfasser |4 aut | |
| 810 | 2 | |a Fachbereich Informatik: Bericht |t Technische Universität <Berlin> |v 1994,32 |w (DE-604)BV000001083 |9 1994,32 | |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006651098&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-006651098 | |
Datensatz im Suchindex
| _version_ | 1808046811931213824 |
|---|---|
| adam_text |
CONTENTS
1
INTRODUCTION
5
2
COLOUR
SPACES
8
3
PROPERTIES
OF
CHROMATIC
FEATURES
11
3.1
UNIFORM
SCALING
AND
SHIFTING
INVARIANCE
.
11
3.2
HUE
SINGULARITY
NEAR
RGB
ZERO
.
11
3.3
DISCOUNTING
TRANSPARENCY
.
12
3.4
DISCOUNTING
HIGHLIGHTS
.
12
3.5
DISCOUNTING
SHADING
AND
SHADOWING
.
14
4
PIXEL
BASED
SEGMENTATION
16
4.1
THRESHOLDING
HISTOGRAMS
.
16
4.1.1
STABLE
SEGMENTATION
USING
COLOUR
INFORMATION
.
16
4.1.2
PICTURE
SEGMENTATION
USING
A
RECURSIVE
REGION
SPLITTING
METHOD
17
4.1.3
COLOUR
INFORMATION
FOR
REGION
SEGMENTATION
.
17
4.1.4
OPPONENT
COLOURS
AS
A
2-DIMENSIONAL
FEATURE
WITHIN
A
MODEL
OF
THE
FIRST
STAGES
OF
THE
HUMAN
VISUAL
SYSTEM
.
.
.
.YY
.
18
4.1.5
SEGMENTATION
OF
COLOUR
PICTURES
WITH
THE
AID
OF
COLOUR
INFOR
MATION
AND
SPATIAL
NEIGHBOURHOODS
.
19
4.1.6
COLOUR
IMAGE
SEGMENTATION
USING
MODIFIED
HSI
SYSTEM
FOR
ROAD
FOLLOWING
.
20
4.1.7
COLOUR
IMAGE
SEGMENTATION
USING
THREE
PERCEPTUAL
ATTRIBUTES
.
20
4.1.8
A
COLOUR
CLASSIFICATION
METHOD
FOR
COLOUR
IMAGES
USING
A
UNI
FORM
COLOUR
SPACE
.
22
4.2
CLUSTERING
IN
COLOUR
SPACE
.
23
4.2.1
COLOUR
IMAGE
SEGMENTATION
AND
LABELING
THROUGH
MULTIEDITING
AND
CONDENSING
.
23
4.2.2
AUTOMATIC
COLOUR
SEGMENTATION
ALGORITHMS
WITH
APPLICATION
TO
SKIN
TUMOR
FEATURE
IDENTIFICATION
.
24
4.2.3
COLOUR
IMAGE
SEGMENTATION
USING
RECURSIVE
PRINCIPAL
COMPO
NENT
ANALYSIS
AND
VECTOR
MEDIAN
SPLITTING
.
25
4.2.4
SEGMENTATION
OF
COLOURED
TOPOGRAPHIC
MAPS
IN
PERCEPTION
BA
SED
COLOUR
SPACES
.
27
4.2.5
A
RECURSIVE
CLUSTERING
TECHNIQUE
FOR
COLOUR
PICTURE
SEGMENTATION
27
4.2.6
INITIAL
SEGMENTATION
FOR
KNOWLEDGE
INDEXING
.
28
4.3
FUZZY
CLUSTERING
IN
COLOUR
SPACE
.
29
4.3.1
ON
THE
COLOR
IMAGE
SEGMENATATION
ALGORITHM
BASED
ON
THE
THRESHOLDING
AND
THE
FUZZY
C-MEANS
TECHNIQUES
.
29
4.3.2
ITERATIVE
FUZZY
IMAGE
SEGMENTATION
.
31
4.3.3
LOW-LEVEL
SEGMENTATION
OF
AERIAL
IMAGES
WITH
FUZZY
CLUSTERING
.
32
5
AREA
BASED
SEGMENTATION
33
5.1
SPLITTING
VERSUS
MERGING
.
33
5.2
REGION
GROWING
.
35
5.2.1
COLOUR
IMAGE
SEGMENTATION
USING
BOUNDARY
RELAXATION
.
35
5.2.2
LOW-LEVEL
SEGMENTATION
OF
MULTISPECTRAL
IMAGES
VIA
AGGLOME
RATIVE
CLUSTERING
OF
UNIFORM
NEIGHBOURHOODS
.
36
5.2.3
COLOUR
IMAGE
SEGMENTATION
USING
REGRESSION
ANALYSIS
IN
RGB
SPACE
.
37
5.2.4
IMAGE
SEGMENTATION
BY
COLOUR
FEATURE
FLOW
.
38
5.2.5
REAL-TIME
COLOUR
IMAGE
SEGMENTATION
.
39
5.2.6
COLOUR
IMAGE
SEGMENTATION
(USING
THE
TOPOGRAPHIC
WATERSHED
ALGORITHM)
.
40
5.2.7
A
FAST
HYBRID
COLOUR
SEGMENTATION
METHOD
.
41
5.2.8
A
GRAPH-THEORETIC
APPROACH
TO
COLOUR
IMAGE
SEGMENTATION
AND
CONTOUR
CLASSIFICATION
.
42
5.2.9
COLOUR
SEGMENTATION
BY
HIERARCHICAL
CONNECTED
COMPONENTS
ANALYSIS
WITH
IMAGE
ENHANCEMENT
BY
SYMMETRIC
NEIGHBOURHOOD
FILTERS
.
43
5.2.10
A
SHORT
NOTE
ON
LOCAL
REGION
GROWING
BY
PSEUDOPHYSICAL
SIMU
LATION
.
44
5.3
SPLIT
AND
MERGE
.
45
5.3.1
A
SEGMENTATION
ALGORITHM
FOR
COLOUR
IMAGES
.
45
5.3.2
COLOUR
IMAGES
'
SEGMENTATION
USING
SCALE
SPACE
FILTER
AND
MAR
KOV
RANDOM
FIELD
.
46
5.3.3
UNSUPERVISED
SEGMENTATION
OF
TEXTURED
COLOUR
IMAGES
USING
MARKOV
RANDOM
FIELD
MODELS
.
47
5.3.4
COLOUR
SEGMENTATION
USING
PERCEPTUAL
ATTRIBUTES
.
47
6
EDGE
BASED
SEGMENTATION
49
6.1
LOCAL
TECHNIQUES
.
49
6.1.1
APPLICATION
OF
COLOUR
INFORMATION
TO
VISUAL
PERCEPTION
.
49
6.1.2
COLOUR
EDGE
DETECTION
.
50
6.1.3
A
COLOUR
EDGE
DETECTION
AND
ITS
USE
IN
SCENE
SEGMENTATION
.
51
6.1.4
COLOUR
EDGE
DETECTION
USING
3D
MEDIAN
.
52
6.1.5
EDGE
BASED
COLOUR
SEGMENTATION
IN
THE
CIE(LAB)
SPACE
.
52
6.1.6
A
NEW
CHROMATIC
EDGE
DETECTOR
USED
FOR
COLOUR
IMAGE
SEGMEN
TATION
.
53
6.1.7
DETECTION
AND
SEGMENTATION
OF
MAN-MADE
OBJECTS
IN
OUTDOOR
SCENCES:
CONCRETE
BRIDGES
.
55
6.1.8
SIMULATION
OF
HUMAN
RETINAL
FUNCTION
WITH
THE
GAUSSIAN
DERI
VATIVE
MODEL
.
55
6.1.9
COMPARING
COLOUR
EDGE
DETECTION
AND
SEGMENTATION
METHODS
.
56
2
6.1.10
A
COMPARISON
OF
THREE
COLOUR
IMAGE
SEGMENTATION
ALGORITHMS
IN
FOUR
COLOUR
SPACES
.
58
6.2
GLOBAL
TECHNIQUES
.
59
6.2.1
COLOUR
IMAGE
SEGMENTATION
USING
MARKOV
RANDOM
FIELDS
.
59
6.2.2
TOWARD
COLOR
IMAGE
SEGMENTATION
IN
ANALOG
VLSI:
ALGORITHM
AND
HARDWARE
.
60
6.2.3
A
MARKOV
RANDOM
FIELD
APPROACH
TO
DATA
FUSION
AND
COLOUR
SEGMENTATION
.
61
7
PHYSICS
BASED
SEGMENTATION
63
7.1
INHOMOGENEOUS
DIELECTRICS
.
63
7.1.1
IMAGE
SEGMENTATION
AND
REFLECTION
ANALYSIS
THROUGH
COLOUR
.
.
63
7.1.2
COLOUR
IMAGE
SEGMENTATION
WITH
DETECTION
OF
HIGHLIGHTS
AND
LOCAL
ILLUMINATION
INDUCED
BY
INTER-REFLECTIONS
.
65
7.1.3
COLOUR
IMAGE
SEGMENTATION
WITH
HIGHLIGHT
REMOVAL
EMPLOYING
A
DIRECT
APPROACH
.
66
7.2
GENERAL
APPROACHES
.
67
7.2.1
COLOUR
VISION
AND
IMAGE
INTENSITIES:
WHEN
ARE
CHANGES
MATE
RIAL
?
.
67
7.2.2
AMBIENT
ILLUMINATION
AND
THE
DETERMINATION
OF
MATERIAL
CHANGES
68
7.2.3
SEGMENTING
IMAGES
USING
NORMALISED
COLOUR
.
70
7.2.4
COLOUR
IMAGE
SEGMENTATION
WITH
SIMPLE
EDGE
CLASSIFICATION
.
.
72
8
CONCLUSIONS
73
3 |
| any_adam_object | 1 |
| author | Skarbek, Władysław Koschan, Andreas |
| author_facet | Skarbek, Władysław Koschan, Andreas |
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| id | DE-604.BV010030392 |
| illustrated | Illustrated |
| indexdate | 2024-08-22T00:50:06Z |
| institution | BVB |
| language | German English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006651098 |
| oclc_num | 33219298 |
| open_access_boolean | |
| owner | DE-12 DE-83 DE-188 |
| owner_facet | DE-12 DE-83 DE-188 |
| physical | 80 S. graph. Darst. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | Techn. Univ. Berlin, Fachbereich 13, Informatik |
| record_format | marc |
| series2 | Technische Universität <Berlin> / Fachbereich Informatik: Bericht |
| spelling | Skarbek, Władysław Verfasser aut Colour image segmentation a survey Władysław Skarbek ; Andreas Koschan Berlin Techn. Univ. Berlin, Fachbereich 13, Informatik 1994 80 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Technische Universität <Berlin> / Fachbereich Informatik: Bericht 1994,32 Literaturverz. S. 74 - 80 Abstract: "Image segmentation, i.e. identification of homogeneous regions in the image, has been the subject of considerable research activity over the last three decades. Many algorithms have been elaborated for gray scale images. However, the problem of segmentation for colour images, which convey much more information about objects in scenes, has received much less attention of [sic] scientific community. While several surveys of monochrome image segmentation techniques were published, similar comprehensive surveys for colour images, to our knowledge, did not emerge. This report contains: an extensive survey of algorithms for colour image segmentation, a categorization of them according [sic] well defined list of attributes, suggestions for their improvements, and descriptions of few [sic] novel approaches." Image processing Farbbild (DE-588)4153689-7 gnd rswk-swf Segmentierung (DE-588)4180694-3 gnd rswk-swf Segmentierung (DE-588)4180694-3 s Farbbild (DE-588)4153689-7 s DE-188 Koschan, Andreas Verfasser aut Fachbereich Informatik: Bericht Technische Universität <Berlin> 1994,32 (DE-604)BV000001083 1994,32 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006651098&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Skarbek, Władysław Koschan, Andreas Colour image segmentation a survey Image processing Farbbild (DE-588)4153689-7 gnd Segmentierung (DE-588)4180694-3 gnd |
| subject_GND | (DE-588)4153689-7 (DE-588)4180694-3 |
| title | Colour image segmentation a survey |
| title_auth | Colour image segmentation a survey |
| title_exact_search | Colour image segmentation a survey |
| title_full | Colour image segmentation a survey Władysław Skarbek ; Andreas Koschan |
| title_fullStr | Colour image segmentation a survey Władysław Skarbek ; Andreas Koschan |
| title_full_unstemmed | Colour image segmentation a survey Władysław Skarbek ; Andreas Koschan |
| title_short | Colour image segmentation |
| title_sort | colour image segmentation a survey |
| title_sub | a survey |
| topic | Image processing Farbbild (DE-588)4153689-7 gnd Segmentierung (DE-588)4180694-3 gnd |
| topic_facet | Image processing Farbbild Segmentierung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006651098&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000001083 |
| work_keys_str_mv | AT skarbekwładysław colourimagesegmentationasurvey AT koschanandreas colourimagesegmentationasurvey |