Efficient Image Retrieval through Hybrid Feature Set and Neural Network
Nitin Arora, Alaknanda Ashok, Shamik Tiwari · International Journal of Image Graphics and Signal Processing · 2019
Images are an important part of daily life.Any person cannot easily control the huge repository of digitally existing images.Extensive scanning of the image database is very much essential to search a particular image from the huge repository.In some cases, this procedure becomes very exhaustive also.As a result, if a count of ten thousand, lakhs or considerably more images are included in the image database, then it may be transformed into a tedious and never-ending process.Content-based image retrieval (CBIR) is a technique, which is used for retrieving an image.This type of image retrieval procedure is centered on the real content of the image.This paper proposed a model of the hybrid feature set of Haar wavelets and Gabor features and analyzed with different existing models image retrieval.Contentbased image retrieval using hybrid feature set of Haar wavelets and Gabor features superiors on other models.