otarun.blogspot.com
Pixel of Knowledge: August 2009
http://otarun.blogspot.com/2009_08_01_archive.html
On pics, physics, and more! Thursday, August 6, 2009. Activity 12: Color Image Segmentation. Segmentation by thresholding will not always work especially when the area of interest has the same grayscale value as the background. In such cases, segmentation can be done using the color of the image of interest. In this activity, we're going to demonstrate parametric and non-parametric color segmentation. Normalize Chromaticity Coordinates (NCC). Can be obtained from r. Essentially, what this PDF does is to ...
ccesporlas-ap186.blogspot.com
CINDY 186: Activity 18 | Noise Models and Basic Image Restoration
http://ccesporlas-ap186.blogspot.com/2009/10/activity-18-noise-models-and-basic.html
Monday, October 5, 2009. Activity 18 Noise Models and Basic Image Restoration. Image restoration is a basic image processing application where an image that has been degraded or damaged is being recovered. To recover the image, the degradation must be known and thus can be used in restoring the image. Figure 1. PDFs of different noise types. Figure 2. Types of filtering used. Figure 3. Test image and its PDF. Figure 4 shows the noisy image for the added Gaussian noise with mean = 0.5 and standard dev...
ccesporlas-ap186.blogspot.com
CINDY 186: Activity 17 | Photometric Stereo
http://ccesporlas-ap186.blogspot.com/2009/09/activity-17-photometric-stereo.html
Wednesday, September 9, 2009. Activity 17 Photometric Stereo. Figure 1. Photometric Stereo. Equation 1. Intensity at point P(x,y). In this activity, we use four images of an object taken with different light source positions and use it to reconstruct the 3D structure of the illuminated area, as shown by Figure 2. Figure 2. Images of object at different light source positions. To calculate for the surface normal of the object we need to get the far away point source locations given by V. Buno, Luis III.
otarun.blogspot.com
Pixel of Knowledge: lessons from drinking sessions..part 1.
http://otarun.blogspot.com/2010/10/lessons-from-drinking-sessionspart-1.html
On pics, physics, and more! Sunday, October 3, 2010. Lessons from drinking sessions.part 1. Nakausap ko si Fidel Rillo habang ako ay nakipag-inuman sa bahay ng aming kaibigan (tawagin natin Mambo) bilang despidida nya papuntang Germany. Nais kong ibahagi ang mga bagay na napagusapan namin. Tinanong ako ng "What is God? Isang sagot ang binigay sa akin ng tatay ng aking kaibigan. "it is the search for truth". It is the search for truth.science and God. Subscribe to: Post Comments (Atom).
otarun.blogspot.com
Pixel of Knowledge: July 2009
http://otarun.blogspot.com/2009_07_01_archive.html
On pics, physics, and more! Thursday, July 23, 2009. Activity 8: Morphological Operations. In this activity, we're going to demonstrate two basic morphological operations, dilation and erosion. We proceed by defining dilation and erosion using set theory and provide examples using different images. To futher understand dilation and erosion better, the reader is recommended to predict the outcome of dilation and erosion on a piece of paper before programming it on a computer. From our activity manual, "Th...
otarun.blogspot.com
Pixel of Knowledge: lessons from drinking sessions part 2..
http://otarun.blogspot.com/2010/10/lessons-from-drinking-sessions-part-2.html
On pics, physics, and more! Thursday, October 7, 2010. Lessons from drinking sessions part 2. Second round of drinking session, this time with my good friend wert, we talked to our friends dad and he shared with us several key points. Below are the things that I remember :). Key thing that I remember is "never be complacent, strive for greatness and avoid the trap of mediocrity. Other things he also mentioned are the following:. 2 marijuana is good. smells good - hehe. :). 5 make mistakes while young.
ccesporlas-ap186.blogspot.com
CINDY 186: September 2009
http://ccesporlas-ap186.blogspot.com/2009_09_01_archive.html
Wednesday, September 9, 2009. Activity 17 Photometric Stereo. Figure 1. Photometric Stereo. Equation 1. Intensity at point P(x,y). In this activity, we use four images of an object taken with different light source positions and use it to reconstruct the 3D structure of the illuminated area, as shown by Figure 2. Figure 2. Images of object at different light source positions. To calculate for the surface normal of the object we need to get the far away point source locations given by V. The human brain m...
ccesporlas-ap186.blogspot.com
CINDY 186: October 2009
http://ccesporlas-ap186.blogspot.com/2009_10_01_archive.html
Monday, October 5, 2009. Activity 18 Noise Models and Basic Image Restoration. Image restoration is a basic image processing application where an image that has been degraded or damaged is being recovered. To recover the image, the degradation must be known and thus can be used in restoring the image. Figure 1. PDFs of different noise types. Figure 2. Types of filtering used. Figure 3. Test image and its PDF. Figure 4 shows the noisy image for the added Gaussian noise with mean = 0.5 and standard dev...
ccesporlas-ap186.blogspot.com
CINDY 186: July 2009
http://ccesporlas-ap186.blogspot.com/2009_07_01_archive.html
Monday, July 20, 2009. Activity 8 Morphological Operations. Morphological operations simply refers to operating on the structure of something and these operations can be thought of like operations on sets like 'union', 'intersection', 'complement' and many others. An example of operations is the XOR which is union minus intersection and [NOT(A)] AND B which is the intersection of 'complement of A' and 'B'. Figure 1. Structuring elements. Figure 2. Resulting images after dilation. Posted by cindy esporlas.
