Detection of Mitosis in Multispectral Breast Cancer Imagery

Mitotic count is an important parameter for the prognosis of breast cancer. However, mitosis detection is a challenging problem and has not been addressed well in the literature. Indeed, mitosis detection is very challenging since mitosis appear in image as small objects with a large variety of shapes, and they can thus be confused with … Continue reading Detection of Mitosis in Multispectral Breast Cancer Imagery

Outlier Rejection with Tensor Voting

Project Summary Given a 3D point cloud the task is to filter out the noisy points. In the project we use the 'Tensor Voting Method' [1,2] for outlier detection. Acknowledgement This project is a part of the Computer Vision course (COMP 5421) during spring 2014. The project partners were Manohar Kuse (myself) and Sunil Jaiswal. The … Continue reading Outlier Rejection with Tensor Voting

3D Reconstruction with Single View

Project Summary We create a 3D model of flat objects from single view. The method used is based on a paper by Criminisi [1]. Acknowledgement This project is a part of the Computer Vision course (COMP 5421) during spring 2014. The project partners were Manohar Kuse (myself) and Sunil Jaiswal. The course instructor was Prof. C. … Continue reading 3D Reconstruction with Single View

Magnetic Lasso from Scratch – Intelligent Scissors

Project Summary The objective of this project is to understand the algorithm beneath the magnetic lasso tool. Magnetic lasso tool is one of the common tools found in tools like Gimp, Adobe Photoshop etc.  In this project we build a tool which allows a user to cut an object out of an image and paste … Continue reading Magnetic Lasso from Scratch – Intelligent Scissors

Gabor Image Features

Computation of Gabor Features - Mean Squared Energy, Mean Amplitude. In applications of computer vision and image analysis, Gabor filters have maintained their popularity in feature extraction for almost three decades. The original reason that draw attention was the similarity between Gabor filters and the receptive field of simple cells in the visual cortex. A more practical reason … Continue reading Gabor Image Features

Machine Learning : Handling Imbalanced Datasets

When dealing with real datasets in machine learning or data mining, we quite frequently encounter a 2 category classification task. However, to add to our agony the dataset is skewed. This means samples from one class are more in number than the other. There are a few well know techniques to get around the problem. … Continue reading Machine Learning : Handling Imbalanced Datasets

Computing Padé Approximation with Maxima

Computationally intensive software programs can have a sharp performance profile. What I mean with sharp profile is that, there might be a couple of functions which are most time consuming. Very often such expensive functions are trigonometric functions. A way to increase performance is by use of approximations for trigonometric function. There is a trade … Continue reading Computing Padé Approximation with Maxima