Content-based histopathology image retrieval using a kernel-based semantic annotation framework

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...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

POCS-Based Annotation Method Using Kernel PCA for Semantic Image Retrieval

A projection onto convex sets (POCS)-based annotation method for semantic image retrieval is presented in this paper. Utilizing database images previously annotated by keywords, the proposed method estimates unknown semantic features of a query image from its known visual features based on a POCS algorithm, which includes two novel approaches. First, the proposed method semantically assigns dat...

Scalable histopathological image analysis via supervised hashing with multiple features

Histopathology is crucial to diagnosis of cancer, yet its interpretation is tedious and challenging. To facilitate this procedure, content-based image retrieval methods have been developed as case-based reasoning tools. Especially, with the rapid growth of digital histopathology, hashing-based retrieval approaches are gaining popularity due to their exceptional efficiency and scalability. Never...

تأملاتی بر نمایه‌ سازی تصاویر: یک تصویر ارزشی برابر با هزار واژه

Purpose: This paper presents various  image indexing techniques and discusses their advantages and limitations.             Methodology: conducting a review of the literature review, it identifies three main image indexing techniques, namely concept-based image indexing, content-based image indexing and folksonomy. It then describes each technique. Findings: Concept-based image indexing is te...