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Image Processing 186

Wednesday, September 22, 2010. If there is one thing a lay man needs to know about digital cameras, its that per pixel in the camera, the color captured by a certain digital color camera is the integral of the product of the spectral power distribution of the incident light source. And the spectral sensitivity of the camera. I = [Red, Green and Blue]. K is the balancing constant equal to the inverse of the camera output when a white object is shown. Digital Cameras nowadays have the White Balance. There ...

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Image Processing 186 | processedworld.blogspot.com Reviews

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Wednesday, September 22, 2010. If there is one thing a lay man needs to know about digital cameras, its that per pixel in the camera, the color captured by a certain digital color camera is the integral of the product of the spectral power distribution of the incident light source. And the spectral sensitivity of the camera. I = [Red, Green and Blue]. K is the balancing constant equal to the inverse of the camera output when a white object is shown. Digital Cameras nowadays have the White Balance. There ...

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1 image processing 186

2 color image processing

3 the surface reflectance

4 and where

5 technical correctness 5/5

6 posted by prozac

7 no comments

8 older posts

9 excellent topics

10 image compression

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image processing 186,color image processing,the surface reflectance,and where,technical correctness 5/5,posted by prozac,no comments,older posts,excellent topics,image compression,color image segmentation,binary operations

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Image Processing 186 | processedworld.blogspot.com Reviews

https://processedworld.blogspot.com

Wednesday, September 22, 2010. If there is one thing a lay man needs to know about digital cameras, its that per pixel in the camera, the color captured by a certain digital color camera is the integral of the product of the spectral power distribution of the incident light source. And the spectral sensitivity of the camera. I = [Red, Green and Blue]. K is the balancing constant equal to the inverse of the camera output when a white object is shown. Digital Cameras nowadays have the White Balance. There ...

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Image Processing 186: Color Image Segmentation

http://processedworld.blogspot.com/2010/09/color-image-segmentation.html

Tuesday, September 21, 2010. Another way to segment images is by use of color, and its application can be seen in face and hand recognition, isolation of land cover in remote sensing, and cell identification in microscopy. Consider an image, per pixel of that image, let its intensity be I = R B G (the primary colors). Then the NCC are. Figure 1: Normalized Chromaticity Space. x-axis is red (r) and y-axis is green (g). Parametric vs. Non-Parametric Probability Distribution. Segmentation based on color can...

2

Image Processing 186: September 2010

http://processedworld.blogspot.com/2010_09_01_archive.html

Wednesday, September 22, 2010. If there is one thing a lay man needs to know about digital cameras, its that per pixel in the camera, the color captured by a certain digital color camera is the integral of the product of the spectral power distribution of the incident light source. And the spectral sensitivity of the camera. I = [Red, Green and Blue]. K is the balancing constant equal to the inverse of the camera output when a white object is shown. Digital Cameras nowadays have the White Balance. There ...

3

Image Processing 186: Binary Operations

http://processedworld.blogspot.com/2010/09/binary-operations.html

Friday, September 17, 2010. It is important in image-based measurements that the region of interest (ROI) must be well segmented from the background. This can be done by either edge detection (defining contours) or by specifying the ROI as blobs. Consider figure 1, imagine that these holes are cells and the objective is to find an estimate of the area of each cell. Figure 2: Nine 256x256 pixel size subimages. Each subimage is subject to the prodecure used to determine the area of each hole. Consider the ...

4

Image Processing 186: Image Compression

http://processedworld.blogspot.com/2010/09/image-compression.html

Wednesday, September 22, 2010. As the title implies, this post/activity is all about compressing an image. This activity makes use of the concept of Principal Component Analysis (PCA). Images can be compressed using bases of sinusoids of different frequencies along the x and y axis. So basically, an image can be represented and then compressed by the superposition of weight basis images (PCA eigenfunctions, or in this case, eigenimages). The first matrix, lamda,. The second matrix, facpr. Gives the princ...

5

Image Processing 186: August 2010

http://processedworld.blogspot.com/2010_08_01_archive.html

Tuesday, August 31, 2010. The main concepts of morphological operations make use of the Set Theory. But for this activity the highlighted concepts are Erosion and Dilation. It is important to note that Logical Operations. Are complementary to morphological operations. The dilation of a shape, A, by a structuring element B is mathematically defined as. On the other hand, the Erosion of A by the structuring element B is defined as. Consider the following shapes. Figure 1: 5x5 pixel square. Figure 6: Dilati...

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Image Processing 186

Wednesday, September 22, 2010. If there is one thing a lay man needs to know about digital cameras, its that per pixel in the camera, the color captured by a certain digital color camera is the integral of the product of the spectral power distribution of the incident light source. And the spectral sensitivity of the camera. I = [Red, Green and Blue]. K is the balancing constant equal to the inverse of the camera output when a white object is shown. Digital Cameras nowadays have the White Balance. There ...

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