ijblob

The IJBlob library indentifying connected components in binary images. The algorithm used for connected component labeling is:

Chang, F. (2004). A linear-time component-labeling algorithm using contour tracing technique. Computer Vision and Image Understanding, 93(2), 206–220. doi:10.1016/j.cviu.2003.09.002

The ImageJ *Shape Filter Plugin* (see downloads) uses this library for flitering the blobs by its shape.

If you are using IJBlob in a scientific publication, please cite:

Wagner, T and Lipinski, H 2013. IJBlob: An ImageJ Library for Connected Component Analysis and Shape Analysis. Journal of Open Research Software 1(1):e6, DOI: http://dx.doi.org/10.5334/jors.ae

Features

Extract the outer contour of each blob.
Extracts also all inner contours of each blob (holes).
Detects also nested objects (blob in blob).
Calculates BasicFeatures (see wiki) of the blob.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow ijblob

ijblob Web Site

Other Useful Business Software

Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.

Try Free

Rate This Project

User Reviews

Be the first to post a review of ijblob!

Additional Project Details

Intended Audience

Developers, Science/Research

Programming Language

Java

Related Categories

Java Computer Vision Libraries

Registered

2013-12-23

Similar Business Software

OpenCV

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed...

See Software
Detectnix Vision

Detectnix Vision is an AI-powered adult content, NSFW, and porn scanner for Windows that detects explicit and nude images stored on your computer — entirely offline, with no cloud uploads or third-party processing. Using on-device AI models, it scans JPG, JPEG, PNG, WEBP, and BMP files across...

See Software
Roboflow

Roboflow has everything you need to build and deploy computer vision models. Connect Roboflow at any step in your pipeline with APIs and SDKs, or use the end-to-end interface to automate the entire process from image to inference. Whether you’re in need of data labeling, model training, or model...

See Software
Lightly

Lightly selects the subset of your data with the biggest impact on model accuracy, allowing you to improve your model iteratively by using the best data for retraining. Get the most out of your data by reducing data redundancy, and bias, and focusing on edge cases. Lightly's algorithms can...

See Software
Azure AI Custom Vision

Create a custom computer vision model in minutes. Customize and embed state-of-the-art computer vision image analysis for specific domains with AI Custom Vision, part of Azure AI Services. Build frictionless customer experiences, optimize manufacturing processes, accelerate digital marketing...

See Software
Ango Hub

Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare...

See Software