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Adventures of a Bookworm

Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Wednesday, September 23, 2009. Activity 19. Restoration of Blurred Image. A grayscale image were selected and processed using Scilab. Noise(Gaussian) was then introduced to the image. The parameter a, b and T was varied to see the their effects to the degraded image. The degraded images are shown in Figure 1. Figure1. Original and Degraded images(a=b=0.001, a=b=0.1 and a=b=0.01). For a=b=0.1 and T=1:. For a=b=0.01 and K=0.0001:. Is decreased...

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Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Wednesday, September 23, 2009. Activity 19. Restoration of Blurred Image. A grayscale image were selected and processed using Scilab. Noise(Gaussian) was then introduced to the image. The parameter a, b and T was varied to see the their effects to the degraded image. The degraded images are shown in Figure 1. Figure1. Original and Degraded images(a=b=0.001, a=b=0.1 and a=b=0.01). For a=b=0.1 and T=1:. For a=b=0.01 and K=0.0001:. Is decreased&#4...
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Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Wednesday, September 23, 2009. Activity 19. Restoration of Blurred Image. A grayscale image were selected and processed using Scilab. Noise(Gaussian) was then introduced to the image. The parameter a, b and T was varied to see the their effects to the degraded image. The degraded images are shown in Figure 1. Figure1. Original and Degraded images(a=b=0.001, a=b=0.1 and a=b=0.01). For a=b=0.1 and T=1:. For a=b=0.01 and K=0.0001:. Is decreased&#4...

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Adventures of a Bookworm: Activity 14. Pattern Recognition

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Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Monday, August 24, 2009. Activity 14. Pattern Recognition. The goal of this activity is to classify the chosen samples to their respective classes (such as color and size) using Scilab. Function in Scilab. The sizes of the samples were then computed with the help of the bwlabel. The original image of the samples along with the binary image is shown below. Figure1. Sample Objects. The generated classification graph is shown in Figure 2.

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Adventures of a Bookworm: Activity 16. Neural Networks

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Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Sunday, September 6, 2009. Activity 16. Neural Networks. X=[0929186603, 0.58557;. 0653588517, 0.147957;. 0908133971, 0.615335;. 0579904306, 0.145402;. 0655502392, 0.164236;. 0956937799, 0.630004;. 0902392344, 0.638101;. 0679425837, 0.14559;. 0650717703, 0.15673;. 0677511962, 0.140274;. 0968421053, 0.618755;. 0914832536, 0.635996;. 0742583732, 0.147524;. 096937799, 0.62855;. 0923444976, 0.642857;. 0717703349, 0.135958;. 0800956938, 0.157814;.

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Adventures of a Bookworm: Activity 15. Probabilistic Classification

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Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Sunday, September 6, 2009. Activity 15. Probabilistic Classification. The goal of this activity is to classify 20 objects according to their classes. The objects used in this activity are 10 Coke and 10 Sprite bottle caps. The image of the objects were taken and converted into a binary image using Scilab. The original image and the binary image are shown in Figure 1. Figure1. Original and Binary image of the previous image.

4

Adventures of a Bookworm: Activity 17. Photometric Stereo

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Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Wednesday, September 9, 2009. Activity 17. Photometric Stereo. In this activity, the an object was recreated using photometric stereo in Scilab. The images of an object illuminated by a light source located from four different locations were used in this activity. The images and the locations of the light source are shown below. Figure1. Images rendered in Matlab. Figure2. Locations of Light Sources. Figure3. 3D plot of the object.

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Adventures of a Bookworm: Activity 19. Restoration of Blurred Image

http://www.adrian-ap186.blogspot.com/2009/09/activity-19-restoration-of-blurred.html

Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Wednesday, September 23, 2009. Activity 19. Restoration of Blurred Image. A grayscale image were selected and processed using Scilab. Noise(Gaussian) was then introduced to the image. The parameter a, b and T was varied to see the their effects to the degraded image. The degraded images are shown in Figure 1. Figure1. Original and Degraded images(a=b=0.001, a=b=0.1 and a=b=0.01). For a=b=0.1 and T=1:. For a=b=0.01 and K=0.0001:. Is decreased&#4...

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Chocolate lover: July 2011

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Wednesday, July 13, 2011. Even if everybody thinks you're not. I still believe that you are". We are human beings. not perfect. but we shouldn't be deprived of the chance to improve ourselves and show the society the better side of us. Just some random thoughts from a very lazy evening. I remember the time when I last spoke about this. Subscribe to: Posts (Atom).

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Chocolate lover: Happy weekend ^_^

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Friday, June 17, 2011. And so my day ended very happily! I know God will not let things happen without lessons to be learned. I will always trust in You Lord. What a happy weekend indeed! Subscribe to: Post Comments (Atom). I was just so scared.

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CINDY 186: Activity 18 | Noise Models and Basic Image Restoration

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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...

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CINDY 186: Activity 17 | Photometric Stereo

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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.

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Malese-ous: June 2009

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Monday, June 29, 2009. Activity 4 - Enhancement by Histogram Manipulation. Contrast is an important characteristic of images. It enables us to distinguish details. However, conditions may not be optimized to meet the desired contrast. It is often necessary to digitally process images to enhance its appearance. I rate this entry 10 for completing the activity and successfully backprojecting, which was the tricky part in my opinion. Xbasc();/ to clear image window. Old=trial(i);/ enhanced image. New=(old-d...

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Chocolate lover: Activity 18 Noise model and basic image restoration

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Saturday, October 10, 2009. Activity 18 Noise model and basic image restoration. In this activity, we try to demonstrate the different types of noise and image restoration techniques. Similar to image enhancement technique, this method aims to improve the quality of images surrounded with noise. However, this technique is more of object type as compared to image enhancement technique which is subjective in nature. Figure 1. Clean image and its PDF. Where z is the gray level value,. Is the average, and.

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Malese-ous: July 2012

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Wednesday, July 25, 2012. So I've been away for a really long time.This was an academic blog turned personal blog turned I dunno. As of today, I've decided to use this blog for posting game dev related topics because, hey, I'm a game developer now! Who would have thought? Definitely not the past me. Anyway, I hope I get to keep my promise this time. This only serves as an intro, so nothing game dev related here yet. So there! Subscribe to: Posts (Atom).

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Chocolate lover: July 2009

http://jrvitug.blogspot.com/2009_07_01_archive.html

Thursday, July 23, 2009. Enhancement in the Frequency Domain. Image enhancement is any digital process which aims to improve the quality of images by adjusting the contrast, brightness, sharpness, boundaries and edges [1]. One of the techniques used to enhance the visual qualities of images is by filtering out unwanted frequencies. This is done through the use of a mask. A mask is a small square window of values by which the current pixel and its neighbor are weighted to produce and output pixel [1].

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Liknayang Inaplay 186: September 2009

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Gilbert's Applied Physics 186 Blog. Thursday, September 24, 2009. Activity 19 - Restoration of Blurred Image. This last activity is about demonstration of restoration of a corrupted grayscale image with a known degradation function which in this case is motion blur and additive noise using Weiner filtering. The following schematic diagram is a model of the image degradation and restoration process. From the diagram, f hat(x, y). Here, h(x, y). Represents the degradation function, f(x, y). The power spect...

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Tolong jangan blng cpa"a ni Foto q habis jumpa fands. Jumat, 20 Maret 2009. Bagaimana mesin diesel bekerja. Ketika gas dikompresi, suhunya meningkat (seperti dinyatakan oleh. Mesin diesel menggunakan sifat ini untuk menyalakan bahan bakar. Udara disedot ke dalam. Mesin diesel dan dikompresi oleh. Yang merapat, jauh lebih tinggi dari. Dari mesin menggunakan busi. Pada saat piston memukul bagian paling atas, bahan bakar. Menyalurkan gerakan ini ke. Direct injection vs indirect injection. ECU) - yang merupa...

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Adrian-Andrews (Thinks being optimistic is scary) - DeviantArt

Window.devicePixelRatio*screen.width 'x' window.devicePixelRatio*screen.height) :(screen.width 'x' screen.height) " class="mi". Window.devicePixelRatio*screen.width 'x' window.devicePixelRatio*screen.height) :(screen.width 'x' screen.height) ". Join DeviantArt for FREE. Forgot Password or Username? Thinks being optimistic is scary. Thinks being optimistic is scary. Deviant for 6 Years. This deviant's full pageview. Thinks being optimistic is scary. Last Visit: 284 weeks ago. Why," you ask? I-I didn't tot...

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Friday, December 18, 2009. Late response to "Agile is treating the symptoms, not the disease". An opinion Billy Hollis shared at the Patterns and Practices summit: Agile is treating the symptoms, not the disease. The basic idea is that our current tools make software development too complex, and an agile approach is an attempt to manage that complexity. I think the point that Billy was trying to convey is that there are projects out there that are small enough (or not important enough? Access. Perhap...

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Adventures of a Bookworm

Adventures of a Bookworm. Adrian's Applied Physics 186 Blog. Wednesday, September 23, 2009. Activity 19. Restoration of Blurred Image. A grayscale image were selected and processed using Scilab. Noise(Gaussian) was then introduced to the image. The parameter a, b and T was varied to see the their effects to the degraded image. The degraded images are shown in Figure 1. Figure1. Original and Degraded images(a=b=0.001, a=b=0.1 and a=b=0.01). For a=b=0.1 and T=1:. For a=b=0.01 and K=0.0001:. Is decreased&#4...

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ONLINE CHAT

THE FUTURE OF “ONLINE CHATING COMMUNITIES” AND INTERNET DATING. Applications Create Free Online Chat. Create the chatter on mobile phones. Is certainly not foreign to the agile messenger. Chat application. The most popular at this time. Soe of the benefits that make it possible to exchange messages both text, sound, video and photos. Unfortunately, to have the full version we have to buy it for $ 44.95. Of course not appropriate expectations of the mania for free, including me. Diposkan oleh ONLINE CHAT.