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Image processing

Image processing . Nucleus Segmentation By Murali krishna Bandari Rami Reddy Battula Sandeep Malladi. Contents . Short briefing about the project Previous Work & Received Suggestions Present Work Pre-Processing of the image Finding edges and application of level set Results.

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Image processing

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  1. Image processing Nucleus Segmentation By MuralikrishnaBandari Rami Reddy Battula SandeepMalladi

  2. Contents • Short briefing about the project • Previous Work & Received Suggestions • Present Work • Pre-Processing of the image • Finding edges and application of level set • Results

  3. Brief Description Given a stack of 128 Images. Analyze the nucleus from each image by segmenting and moving them into a stack. Selecting the seed points and trying to grow a region based on those seed points. Calculating the volume, surface area, circularity and density. Note:- The structure of the nucleus is not same in all the layers, so we have followed the approach which deals with the layer by layer segmentation

  4. Previous Work Segmentation of the nucleus in each layer was done manually. The extracted nucleus consisted of the dendrite particles along with it. Suggested Theory: 1. To locate the seed point in an automated way 2. To segment the nuclei accurately without any dendrite particles involved.

  5. Briefing the Present Work Pre-Processing of the image. Finding the edges. Application of the level sets. Analyzing the results by calculating the volume, area and circularity. Density is yet to be calculated.

  6. Preprocessing of a image The main aim of preprocessing of image is to find the seed points of the nucleus of a image. Preprocessing of a image involves following steps Background subtraction Enhance contrast Find maxima

  7. Background subtraction • When we perform this operation the objects get identified .

  8. Enhance contrast It enhances the objects brightness.

  9. Find maxima Finding maxima of a image helps to locate seed point to the nucleus.

  10. Code for placing seed points on image Gets the results from the results table Takes the input as X and Y coordinates location as an array Plots the co ordinates received from the PointRoi

  11. Output for the above code

  12. Sequence of actions plugin does Finding edges converting into binary

  13. Applying level set algorithm to the image Applying level set Final output segmented

  14. Segmentation results

  15. Pending work and conclusion • We need to calculate the density. Here we get the circularity based on the formula Circularity = 4* pi ((Area/(perimeter * perimeter))

  16. References http://rsbweb.nih.gov/ij/docs/examples/index.html http://imagej.nih.gov/ij/developer/api/

  17. Thank You

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