Dear Hossein.

Thanks for your link.

If you can add different links.

But now I'm interested in medical images (histology, cytology) and their description.

Vyacheslav.

You can check that site:

https://media.xiph.org/video/derf/

Well known images are available in here.

Also, the following sites can be useful:

http://www.robots.ox.ac.uk/~vgg/data/

http://www.milanton.de/data.html

http://datasets.visionbib.com/

you can try,

http://Decsai.ugr.es . Its a Dataset of standard 512x512 grayscale test images

http://Decsai.ugr.es

Orhan, Moein, Abhinash thanks for the help.

http://www.imageprocessingplace.com/

you can get every kind of image from this site

Thank you very much Amina.

Also in http://www.computervisiononline.com/datasets you can find several datasets for many applications

Folkmar and Gustavo thanks. A good link.

The National Database for Autism Research (NDAR) and the NIH Pediatric MRI Repository contain images for autism cases and typically developing cases, respectively.  These can be accessed for free after completing the data access request process.  See http://ndar.nih.gov/access.html for more information

http://ndar.nih.gov/access.html

Dear Vyacheslav,

you can find a review of a good number of texure image databases in the following references:

Hossain, S., Serikawa, S.

Texture databases - A comprehensive survey

(2013) Pattern Recognition Letters, 34 (15), pp. 2007-2022

Bianconi, F., Fernández, A.

An appendix to "texture databases - A comprehensive survey"

(2014) Pattern Recognition Letters, 45 (1), pp. 33-38.

Hope it helps

Best,

f.

Thank you Francesco.

Just to add to previous answers: you can check the following repository.

https://archive.ics.uci.edu/ml/datasets.html

Alongside many useful datasets that can be used to verify machine learning approaches; there are some image datasets, e.g. the well known handwritten digit images. Hope this helps. 

Also Brodatz texture database at:

http://sipi.usc.edu/database/database.php?volume=textures

Alma and Laurent thanks for the a nice addition of links.

Dear Vyacheslav,

You can get a different set of images in the following link too..........

http://www.cs.cmu.edu/~cil/v-images.html 

You can use the platform IPOL wgich is a an Open Science and Reproducible Research journal of image processing and image analysis. Each article contains a text on an algorithm and its source code, with an online demonstration facility and an archive of experiments.

The URL is http://www.ipol.im/

VISTEX database is famous in Image Processing. This is a (big) dataset from the Vision and Modelling group at the MIT Media Lab. You can download and unzip :

http://vismod.media.mit.edu/pub/VisTex/VisTex.tar.gz

You have also this database for texture:

http://www.cgtextures.com/index.php

It is for free until you download less than 15 mb a day. May be it is helpful

Best regards

I am grateful to everyone who answered my question.

I got a lot of material to work with.

Thank you.

I will be glad to receive new links.

http://www.imageprocessingplace.com

Dear S. Sazzad. Thank you for your understanding of the issue.

But I need any set of images for a multitude of tasks.

If you can provide the links, I'll be grateful to you.

Dear Lyashenko,

I have used 

http://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/

(The Berkeley Segmentation Dataset and Benchmark)

Regards,

Marco Carvalho

Thank you Marco. Nice and useful link.

This website list many datasets for vision; you should be able to find what you need there:

http://datasets.visionbib.com/

Here are few DBs with distored images and mean opinion scores:

• IVC - http://www2.irccyn.ec-nantes.fr/ivcdb
• MICT - http://mict.eng.u-toyama.ac.jp/mictdb.html
• CSIQ - http://vision.okstate.edu/csiq

I expect that you know about LIVE and TID'08-13.

Thank you all for your interest in this matter.

If possible, share new links.

Regards,

Vyacheslav.

Sometime I try to find it the UKM Library

Dear @Ismail Suardi Wekke thanks for the reply.

But provide a link.

Hello Dear Vyacheslav

I dont know what type of research you are working on but the link below provide a lot of databses for facial expressions. if you name the type of activity i can help more.

http://www.face-rec.org/databases/

Dear Hossein.

Thanks for your link.

If you can add different links.

But now I'm interested in medical images (histology, cytology) and their description.

Vyacheslav.

Sir,

I think the following may be of help

Regards,

Zubair

http://hoslink.com/pathology/histo/cytimage.htm

https://sites.google.com/site/aacruzr/image-datasets

https://www.csun.edu/science/biology/cytology/cytology.html

Hello again

I am not expert in medical things but i found these links useful:

http://www.aylward.org/notes/open-access-medical-image-repositories 

https://www.dartmouth.edu/~library/biomed/guides/research/medimages.html

http://www.via.cornell.edu/databases/

http://www.omnimedicalsearch.com/image_databases.html

http://www.omnimedicalsearch.com/image_databases.html

http://guides.lib.umich.edu/c.php?g=282888&p=1885044

http://library.medicine.yale.edu/tutorials/subjects/medical-images

https://medpix.nlm.nih.gov/home

http://www.cancerimagingarchive.net/

http://www.imageprocessingplace.com/root_files_V3/image_databases.htm

https://sites.google.com/site/internationalengineersrg/dataset

https://www.cs.cmu.edu/~cil/v-images.html

Hossein

Dear @Muhammad Zubair Ahmad.

Thank you.

Thank you, dear Hossein.

It is necessary to look. You loaded me with work.

hi Vyacheslav . 

i dont know what king of image you need but i see a link that contain a lot  of database. hope be usefull.

http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm

You are welcome: here are some more name of medical database:

2008 MICCAI MS Lesion Segmentation Challenge (National Institutes of Health Blueprint for Neuroscience Research)

ASU DR-AutoCC Data - a Multiple-Instance Learning feature space for a diabetic retinopathy classification dataset (Ragav Venkatesan, Parag Chandakkar, Baoxin Li - Arizona State University)

Aberystwyth Leaf Evaluation Dataset - Timelapse plant images with hand marked up leaf-level segmentations for some time steps, and biological data from plant sacrifice. (Bell, Jonathan; Dee, Hannah M.)

Annotated Spine CT Database for Benchmarking of Vertebrae Localization, 125 patients, 242 scans (Ben Glockern)

BRATS - the identification and segmentation of tumor structures in multiparametric magnetic resonance images of the brain (TU Munchen etc.)

Cholec80: 80 gallbladder laparoscopic videos annotated with phase and tool information. (Andru Putra Twinanda)

CRCHistoPhenotypes - Labeled Cell Nuclei Data - colorectal cancer?histology images?consisting of nearly 30,000 dotted nuclei with over 22,000 labeled with the cell type (Rajpoot + Sirinukunwattana)

CREMI: MICCAI 2016 Challenge - 6 volumes of electron microscopy of neural tissue,neuron and synapse segmentation, synaptic partner annotation. (Jan Funke, Stephan Saalfeld, Srini Turaga, Davi Bock, Eric Perlman)

Cavy Action Dataset - 16 sequences with 640 x 480 resolutions recorded at 7.5 frames per second (fps) with approximately 31621506 frames in total (272 GB) of interacting cavies (guinea pig) (Al-Raziqi and Denzler)

Cell Tracking Challenge Datasets - 2D/3D time-lapse video sequences with ground truth(Ma et al., Bioinformatics 30:1609-1617, 2014)

Computed Tomography Emphysema Database (Lauge Sorensen)

CRIM13 Caltech Resident-Intruder Mouse dataset - 237 10 minute videos (25 fps)

annotated with actions (13 classes) (Burgos-Artizzu, Dollár, Lin, Anderson and Perona)

DIADEM: Digital Reconstruction of Axonal and Dendritic Morphology Competition (Allen Institute for Brain Science et al)

DIARETDB1 - Standard Diabetic Retinopathy Database (Lappeenranta Univ of Technology)

DRIVE: Digital Retinal Images for Vessel Extraction (Univ of Utrecht)

DeformIt 2.0 - Image Data Augmentation Tool: Simulate novel images with ground truth segmentations from a single image-segmentation pair (Brian Booth and Ghassan Hamarneh)

Deformable Image Registration Lab dataset - for objective and rigrorous evaluation of deformable image registration (DIR) spatial accuracy performance. (Richard Castillo et al.)

Dermoscopy images (Eric Ehrsam)

EPT29.This database contains 4842 images of 1613 specimens of 29 taxa of EPTs:(Tom etc.)

FIRE Fundus Image Registration Dataset - 134 retinal image pairs and groud truth for registration.(FORTH-ICS)

IRMA(Image retrieval in medical applications) - This collection compiles anonymous radiographs (Deserno TM, Ott B)

KID - A capsule endoscopy database for medical decision support (Anastasios Koulaouzidis and Dimitris Iakovidis)

Leaf Segmentation ChallengeTobacco and arabidopsis plant images (Hanno Scharr, Massimo Minervini, Andreas Fischbach, Sotirios A. Tsaftaris)

MIT CBCL Automated Mouse Behavior Recognition datasets (Nicholas Edelman)

MUCIC: Masaryk University Cell Image Collection - 2D/3D synthetic images of cells/tissues for benchmarking(Masaryk University)

MiniMammographic Database (Mammographic Image Analysis Society)

Moth fine-grained recognition - 675 similar classes, 5344 images (Erik Rodner et al)

Mouse Embryo Tracking Database - cell division event detection (Marcelo Cicconet, Kris Gunsalus)

OASIS - Open Access Series of Imaging Studies - 500+ MRI data sets of the brain (Washington University, Harvard University, Biomedical Informatics Research Network)

Plant Phenotyping Datasets - plant data suitable for plant and leaf detection, segmentation, tracking, and species recognition (M. Minervini, A. Fischbach, H. Scharr, S. A. Tsaftaris)

RatSI: Rat Social Interaction Dataset - 9 fully annotated (11 class) videos (15 minute, 25 FPS) of two rats interacting socially in a cage (Malte Lorbach, Noldus Information Technology)

Retinal fundus images - Ground truth of vascular bifurcations and crossovers (Univ of Groningen)

SCORHE - 1, 2 and 3 mouse behavior videos, 9 behaviors, (Ghadi H. Salem, et al, NIH)

STructured Analysis of the Retina - DESCRIPTION(400+ retinal images, with ground truth segmentations and medical annotations)

Spine and Cardiac data (Digital Imaging Group of London Ontario, Shuo Li)

Stonefly9This database contains 3826 images of 773 specimens of 9 taxa of Stoneflies (Tom etc.)

Synthetic Migrating Cells -Six artificial migrating cells (neutrophils) over 98 time frames, various levels of Gaussian/Poisson noise and different paths characteristics with ground truth. (Dr Constantino Carlos Reyes-Aldasoro et al.)

Univ of Central Florida - DDSM: Digital Database for Screening Mammography (Univ of Central Florida)

VascuSynth - 120 3D vascular tree like structures with ground truth (Mengliu Zhao, Ghassan Hamarneh)

VascuSynth - Vascular Synthesizer generates vascular trees in 3D volumes. (Ghassan Hamarneh, Preet Jassi, Mengliu Zhao)

York Cardiac MRI dataset (Alexander Andreopoulos)

You can also see this site web http://www.ipol.im

You can also use Google Dataset Search:

https://toolbox.google.com/datasetsearch

Use COCO.com

Kaggale.com

ImageNet.com

If you use MATLAB, I suggest you that use "Help" or visit "www.mathwork.com".

If you search at help of MATLAb and typ "image prissesing", MATLAb shows all commands that you can read how to act.

http://spineweb.digitalimaginggroup.ca/spineweb/index.php?n=Main.Datasets

If you need ground truth information to evaluate the performance of different image processing algorithms, you may refer the following:

https://github.com/cuilimeng/CrackForest-dataset

Best

Deeksha

https://toolbox.google.com/datasetsearch

http://deeplearning.net/datasets/