CS663 | computer vision
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Main
Data Input
Research
Getting Started
Blob Detecton
Proposal
Implementation
Requirements
Data Output
Class and Menu Specifications
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Deliverables

Project 3: Feature Detection

    Blob Detection and Feature Extraction Proposal (+15 points)

    Given your research and participation in class discussions you are to propose how you are going to detect blobs in your image and if you are going to use the ROI feature. You must also propose for each blob (or sets of mini-blobs in the microclassification case) the 5 features you want to use and a brief description on how you will implement both the blob detection algorithm and feature extracton algorithms. Your proposal must contain psuedo code (at a high level) and have the following sections:

    • Secton 1: Mass Case - Blob Detection Algorithm
    • Section 2: Mass Case - Features Extraction Algorithms (5) for Blobs
    • Section 3: Micro-calcification Case - (mini) Blob Detection Algorithm
    • Section 4: Micro-calcification Case - Feature Extracton Algorithms (5) for mini-Blobs

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cs663:computer vision

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