Segmentation - Revision history

Feralo at 12:47, 25 November 2016

2016-11-25T12:47:01Z

Feralo at 03:31, 27 January 2015

2015-01-27T03:31:46Z

Feralo at 07:58, 13 January 2015

2015-01-13T07:58:36Z

Feralo at 07:47, 13 January 2015

2015-01-13T07:47:34Z

Feralo at 06:47, 8 January 2015

2015-01-08T06:47:05Z

Feralo at 06:42, 8 January 2015

2015-01-08T06:42:27Z

Feralo at 18:32, 7 January 2015

2015-01-07T18:32:28Z

Feralo at 18:27, 7 January 2015

2015-01-07T18:27:41Z

Feralo at 18:22, 7 January 2015

2015-01-07T18:22:07Z

Feralo at 17:59, 7 January 2015

2015-01-07T17:59:44Z

@@ Line 6: / Line 6: @@
-Welcome to this lecture on '''Image Segmentation Techniques'''.
+Welcome to this lecture on '''Image Segmentation Techniques'''
@@ Line 33: / Line 35: @@
 == Teaching Material ==
-Get '''slides''' from Google docs (ppt) [https://drive.google.com/open?id=0B95UheoCtOzoNUNSWW9CTGQwZ2c&authuser=0 here]
+Get '''slides''' from Google docs (ppt) [https://drive.google.com/open?id=0BzuKeaCE7_FySUNUVERzejI5ZGs here]
 [[Image:intro_to_segmentation.png|250px]]
-See here a Youtube '''video commenting the slides''': http://youtu.be/ScGmiRO84HE
+See here a Youtube '''video commenting the slides''' (November 2014): http://youtu.be/ScGmiRO84HE
 [[Image:segmentation-youtube.png|350px]]
-'''See the lecture''' in Youtube: http://youtu.be/CLO_Iaq7CZI
+'''See the lecture''' in Youtube (November 2014): http://youtu.be/CLO_Iaq7CZI

← Older revision		Revision as of 03:31, 27 January 2015
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−	~~Coming soon: see here a~~ '''~~video-class~~''' ~~here~~.	+	'''See the lecture''' in Youtube: http://youtu.be/CLO_Iaq7CZI

−	[[Image:~~voki~~.png\|~~250px~~]]	+
		+	[[Image:video-lecture-segmentation.png\|350px]]

@@ Line 55: / Line 55: @@
 |'''R. Klette, “Concise Computer Vision”,  Springer, 2014'''
 * Sections 5.1, (basic segmentation), 5.2 (mean-shift)
-* Get [https://drive.google.com/drive/#folders/0B95UheoCtOzoQldGSXVtcGJjNE0/0B95UheoCtOzoU3RpNXlpSm52Y1U chapter 5]
+* Get [https://drive.google.com/file/d/0B95UheoCtOzocmZjSVYweHpiNjg/view?usp=sharing chapter 5]
 * Site of the author (full book not available, but plenty of other resources): http://ccv.wordpress.fos.auckland.ac.nz/
 |}

@@ Line 4: / Line 4: @@
 |header2 = '''Contact:''' [[Fernando Alonso-Fernandez]]
 }}
 Welcome to this lecture on '''Image Segmentation Techniques'''.

@@ Line 54: / Line 54: @@
 |'''R. Klette, “Concise Computer Vision”,  Springer, 2014'''
 * Sections 5.1, (basic segmentation), 5.2 (mean-shift)
 * Site of the author (full book not available, but plenty of other resources): http://ccv.wordpress.fos.auckland.ac.nz/
 |}

← Older revision		Revision as of 06:42, 8 January 2015
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	[[Image:voki.png\|250px]]		[[Image:voki.png\|250px]]
		+
		+
		+
		+	== References and sources ==
		+
		+	{\| class="wikitable"
		+	\|-
		+	\|'''R. Klette, “Concise Computer Vision”, Springer, 2014'''
		+	* Sections 5.1, (basic segmentation), 5.2 (mean-shift)
		+	* Site of the author (full book not available, but plenty of other resources): http://ccv.wordpress.fos.auckland.ac.nz/
		+	\|}
		+
		+	{\| class="wikitable"
		+	\|-
		+	\|'''R. Szeliski, “Computer Vision: Algorithms and Applications”, Springer 2010'''
		+	* Sections 5.3 (mean-shift)
		+	* The whole chapter in general is interesting, describing several advanced segmentation methods not shown here
		+	* Full book available online: http://szeliski.org/Book/
		+	\|}
		+
		+	{\| class="wikitable"
		+	\|-
		+	\|'''M. Shah, “Fundamentals of Computer Vision”, 1997'''
		+	* Section 3 (very basic read about segmentation)
		+	* Full book available online: http://crcv.ucf.edu/courses/CAP6411/book.pdf
		+	\|}

@@ Line 5: / Line 5: @@
 }}
-Welcome to this lecture on Image Segmentation Techniques.
+Welcome to this lecture on '''Image Segmentation Techniques'''.
@@ Line 14: / Line 14: @@
-Segmentation can be seen complementary to edge detection (see lecture on edge detection [http://islab.hh.se/mediawiki/Directionality_Analysis here]). Edges define boundaries of objects, while segmentation looks for regions occupied by objects. However, not all edges define an object (our object of interest may have many edges inside), and not all objects are defined by clear edges.
+Segmentation can be seen complementary to edge detection ('''see lecture on edge detection [http://islab.hh.se/mediawiki/Directionality_Analysis here]'''). Edges define boundaries of objects, while segmentation looks for regions occupied by objects. However, not all edges define an object (our object of interest may have many edges inside), and not all objects are defined by clear edges.
-We will start with simple segmentation algorithms, describing basic thresholding algorithm, seed growing, and split and merge algorithms. These are based on the assumption that the objects of interest have clear "uniform" gray level, and they only make use of pixel intensities. For this reason, a more complex segmentation algorithm is presented, the mean-shift algorithm. This allows to make use of many local properties at a pixel location, which are then used to find different "modes" or clusters of pixels in the joint histogram of features.
+We will start with '''simple segmentation''' algorithms, describing basic thresholding algorithm, seed growing, and split and merge algorithms. These are based on the assumption that the objects of interest have clear "uniform" gray level, and they only make use of pixel intensities. For this reason, a more '''complex segmentation''' algorithm is presented, the '''mean-shift algorithm'''. This allows to make use of many local properties at a pixel location, which are then used to find different "modes" or clusters of pixels in the joint histogram of features.
@@ Line 24: / Line 24: @@
-Finding "meaningful" regions in images via segmentation have countless purposes in Computer Vision, rather than just visualization. It enables higher reasoning levels of analysis leading towards the analysis of objects and interpretation of scenes.
+Finding "meaningful" regions in images via segmentation have countless uses in Computer Vision, rather than just visualization. It enables higher reasoning levels of analysis leading towards the analysis of objects and interpretation of scenes.
@@ Line 37: / Line 37: @@
-See here a Youtube video commenting the slides: http://youtu.be/ScGmiRO84HE
+See here a Youtube '''video commenting the slides''': http://youtu.be/ScGmiRO84HE
 [[Image:segmentation-youtube.png|350px]]

← Older revision		Revision as of 18:27, 7 January 2015
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	See here a Youtube video commenting the slides: http://youtu.be/ScGmiRO84HE		See here a Youtube video commenting the slides: http://youtu.be/ScGmiRO84HE
		+
		+	[[Image:segmentation-youtube.png\|350px]]