What is Image Analysis Toolset?
Image Analysis Toolset (IAT) is an open-source software toolkit for image processing, analysis, and computer vision research. It is developed in C++ with bindings for Python and MATLAB.
Some key capabilities and features of IAT include:
- Image manipulation - cropping, resizing, filtering, transformations, etc.
- Feature extraction - SIFT, SURF, ORB, FAST, histogram-based features, etc.
- Image segmentation - thresholding, watershed, superpixels, active contours, etc.
- Object measurement - shape fitting, perimeter and area calculations, etc.
- Machine learning - classifiers like SVM and random forest, neural networks with Caffe integration
- Multi-view stereo reconstruction and point cloud generation
- Parallel processing and GPU acceleration support with OpenCL and CUDA
- Extensive documentation and usage examples
- Cross-platform support for Linux, Windows, and macOS
IAT aims to provide high performance building blocks for developing custom image analysis pipelines. It is designed to be easily extensible and has APIs for adding new algorithms. The included tools cover common tasks in fields like medical imaging, microscopy, robotics, quality control, and more.
Google Lens, TinEye, RevIMG, Search by Image, Byo Image Search lab, THINK FR33 Reverse Image Search, Flow Powered by Amazon, Google Goggles, CamFind, NooBox, Search by Image (by Google), Picitup are some alternatives to Image Analysis Toolset.