| 1. Health Care | Computer-aided diagnosis, surgical applications, Mammography Analysis, Detection of Carcinoma tissue, Retrieval of similar diagnosed images. | i. Image acquisition: (Sensors- light, ultra sonic, tomography, radar)
ii. Pre-processing (Re-sampling, Noise reduction, Enhancement, Scale normalization)
iii. Feature extraction (Lines, edges, interest points, corners, blobs, color, shape and texture)
iv. Detection/Segmentation (region of interest, foreground and background separation, Interest points)
v. High-level processing (Object Detection, Recognition, Classification and Tracking) | i. Various types of image and videos (binary, gray, color), different data types (GIF, BMP, JPEG and PNG), and sizes (SQCIF, QCIF, CIF, 4CIF).
ii. Camera Sabotage (FOV obstruction, sudden pan, tilt, zoom) and Discontinuity in video streams
iii. Illumination (varied intensity and multiple source of lights)
iv. Blurring
v. Occlusion
vi. Different object size
vii. Changing Field of View in moving cameras |
| 2.Transport | Small to large vehicle detection, Vehicle count, Traffic density estimation, Incident detection, Traffic rule violation detection, Eye and head tracking for automatic drowsiness detection, Lane/Road detection etc. |