Automatic image captioning system using integration of N-cut and color-based segmentation method

Automatic image annotation is the task of automatically assigning words to an image that describes the content of the image. _In this paper, an automatic image annotation and retrieval model is developed on the intensity invariant approach. The system applied various preprocessing steps such as Gray scale converting, Noise filtering for image enhancing. In image segmentation, the system segment particular image according to their color intensity. In feature extraction, it extracts individual objects and assign associated words for each object to form training images. After feature extraction, each object is compared with annotated dataset to assign words and images respectively. The fabric and un-fabric images are applied for training and testing. The top words are described for annotated image in result.