Classification and tracking can mostly used in dynamic environments. Digital image processing field focuses on embedded systems incorporates with the use of industrial imaging camera to perform real time classification.
Optical character recognition is the mostly used category of image processing for classifies character patterns corresponding to alphanumeric or characters. It involves the necessary steps to make it easy and it includes image segmentation, feature extraction and classification. It processes the actual image into 2-D matrix and extracts the features from the image using various algorithms.
Stereo Vision system is mostly used to acquire images in order to capture several intervals or sequences of an object at periodic intervals of time. Two cameras are selected to stimulate eyes function for making easy stereo vision systems and acquire images simultaneously. Mathematical operations are prepared and loaded into the processor to simulate the images view calculations.
Object detection is the process of locating of objects in images or real world environment such as cap, tap, nut, bolt in still images or sequences of images. Object detection can be performed by using various algorithms to extract the color, texture, size features and train algorithms to recognize of an object category. It is generally used in applications such as image retrieval, security etc.
Medical Image analysis is the based on algorithms for solving the medical problems. The analysis on the basis of images captured or acquired by doctor for tests like Computerized tomography (CT), Magnetic Resonance tomography (MRI) and ultrasound, offers clear opportunities for diagnosis of the patient. It is essential and easy accessible to large amount of data of images and extracts the features and required data from the images.
Artificial Intelligence is the advanced technique in the field of digital image processing designed to perform small tasks. AI is an area of computer science field that create an intelligent machine that work and perform and react like humans.
Human skin texture analysis used to analyze the images of skin that captured by the imaging devices. Normally human skin texture having different types like smooth, dryness and texture may also be change for a time due to skin disease such as fungal infections and allergies etc.
3D image processing is the processing of images that are captured and stored in a matrix form. Images acquired and captured so as to stereoscopic effect in which density value itself contains information related to 3D space. The data which are stored are related not only visible surfaces but also to internal structures of an object.
Abnormality detection in image is used for real time life applications such as medical images and also helps greatly in improving the health analysis. The detection has mainly focused on relational databases. By analysis the images in both normal and abnormal images will be able to achieve a good combination of sensitivity and specificity.