ricerca for Python
About
ricerca is a python package for content-based searching of microscope images. It uses a set of numerical features to describe each image and a method for combining them to measure similarity.
For more information about ricerca, please visit http://murphylab.web.cmu.edu/software/ricerca/
References
B.H. Cho, I. Cao-Berg, J.A. Bakal, and R.F. Murphy (2012) OMERO.searcher: Content-based image search for microscope images. Nature Methods 9:633-634.
Leejay Wu, Christos Faloutsos, Katia P. Sycara, and Terry R. Payne. 2000. FALCON: Feedback Adaptive Loop for Content-Based Retrieval. In Proceedings of the 26th International Conference on Very Large Data Bases (VLDB ‘00), Amr El Abbadi, Michael L. Brodie, Sharma Chakravarthy, Umeshwar Dayal, Nabil Kamel, Gunter Schlageter, and Kyu-Young Whang (Eds.). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 297-306.
Metadata
Release files for ricerca 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ricerca-1.1.3.tar.gz | 17.8 kB | Details |
Release files / ricerca-1.1.3.tar.gz
| Download URL | ricerca-1.1.3.tar.gz |
|---|---|
| Size | 17.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2f26ad52157e0958c53e54e78303645b18360e12e39fdd2850ca3dbb6f0fd4c3
|
|
BLAKE2b-256 checksum How to use checksums |
37730c07465dff9548e9c0db8c458ee2f0516429f0f372f9bfb8c269ab4dc115
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |