Hierarchical Content-Based Image Retrieval of Skin Lesions
نویسندگان
چکیده
This paper proposes a novel hierarchical content-based image retrieval system and its application to skin lesion images. Five common classes of skin lesions, including two non-melanoma cancer types, are used. Colour and texture features are extracted from lesions. Feature selection is embedded in a hierarchical framework that chooses the most relevant feature subsets by comparing different similarity for each level of the hierarchy. Experiments on our database of 533 images show that the proposed hierarchical scheme improves retrieval precision by about 4%, reaching a maximum average precision of 78%.
منابع مشابه
Semiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملA Query-by-Example Content-Based Image Retrieval System of Non-melanoma Skin Lesions
This paper proposes a content-based image retrieval system for skin lesion images as a diagnostic aid. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination. Skin lesions of five common classes, including two non-melanoma cancer types are used. Colour and texture features are extracted from lesions. Feature selection...
متن کاملContent-based Image Retrieval System for clinical diagnosis of Pigmented Skin Lesions
The screening process of skin cancer and the capacity of storing the digital images in recent years are rapidly increasing at an alarming rate. These digital image contains a lot of useful diagnostic information, which are not efficiently accessed and used. This requires a way to quickly and accurately find an access to these images, also known as content-based image retrieval (CBIR) system. Th...
متن کاملContent Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کامل