GitHub Repo: https://github.com/dev-nanthan/blob-detection
In manufacturing industries, dimensional analysis plays a crucial role in ensuring product quality and conformity to specifications. However, performing dimensional analysis manually is time-consuming and error prone. Automating this process plays critical role in mass scaling the production.
This challenge aims to develop an image processing solution using blob detection techniques to automate dimensional analysis for quality control in manufacturing. The objective is to preprocess the images, apply morphological image operations for noise reduction, perform image segmentation to identify individual objects, measure the dimensions of blobs accurately, and analyze them in accordance with predefined specifications. By automating this process, manufacturers can improve efficiency, reduce errors, and maintain consistent quality standards.
Methodology: This section of the paper focuses on detailed steps of the project which include Image Acquisition, Image Preprocessing, Morphological Image Operations, Image Segmentation and valid Blobs Detection, and Dimensional Analysis and Filtering.
Thevananthan Thevarasa 