Images

1. ImageProcessingPlace.com (http://www.imageprocessingplace.com/root_files_V3/image_databases.htm)
2. OmniMedicalSearch.com (http://www.omnimedicalsearch.com/image_databases.html)

Face Dataset

Face Recognition Homepage - Databases
http://www.face-rec.org/databases/

LFWcrop Face Dataset
http://www.itee.uq.edu.au/~conrad/lfwcrop/

Psychological Image Collection at Stirling (PICS) Image Database
http://pics.psych.stir.ac.uk/cgi-bin/PICS/New/pics.cgi

Resources for Face Detection
http://vision.ai.uiuc.edu/mhyang/face-detection-survey.html


Simple steps on nose and mouth detection:
Source: From here (credits to Alan Balkany)
1. Use your existing algorithm to get the bounds of the face.
2. Replace each pixel with a number proportional to the variance in the neighborhood of that pixel. (There will be more variance in the regions of the eyes, mouth, and around the nose.)
3. Use the Open operation (Erode morphological operator followed by Dilate) to eliminate stray isolated pixels with high variance.
4. Use the Close operation (Dilate morphological operator followed by Erode) to fill in the gaps.
5. You should have four regions remaining: Two eyes, nose, and mouth.

Computer Vision Test Images

22nd July 2009 - I was given a few tasks by Dr.Faizal (my SV) as the startup of my 3rd degree. This is one of them. The images will be used in initial experiments (just to test the color techniques). The image collections found :

1. List of various images from various sources (source1) : http://www.cs.cmu.edu/~cil/v-images.html
2. List of various images from various sources (source2) : http://www.iro.umontreal.ca/~mignotte/TestImages.html
   
3. NC State Image Analysis Laboratory Image Database (includes industrial, IP standard, medical) : http://www.ece.ncsu.edu/imaging/Archives/ImageDataBase/index.html
4. Sample images from The Ohio State University : http://sampl.ece.ohio-state.edu/database.htm
5. Amsterdam Library of Object Images (ALOI) : http://staff.science.uva.nl/~aloi/
6. Colored image database with ground truth : http://www.cs.washington.edu/research/imagedatabase/groundtruth/
   
7. Databases for benchmarking : http://peipa.essex.ac.uk/benchmark/databases/index.html#colour
8. Object Recognition Image Database : http://www.cs.sfu.ca/~colour/image_db/index.html