Search Results for "content based image retrieval in matlab"

... architecture and graphical user interface make it attractive also for non-Computer Scientist people, and suitable for both high content screenings and occasional spheroid-based experiments. Please, when using AnaSP, cite: "F. Piccinini, AnaSP: a software suite for automatic image analysis of multicellular spheroids. Computer Methods and Programs in Biomedicine, 119(1):43-52, 2015." Requirements: MATLAB R2022a or later versions.

This package includes a collection of MATLAB files which are designed to: 1. Given a calibration scan of the image of a point emitter with an engineered point spread function (PSF), 2. Perform a phase retrieval algorithm based on maximum likelihood estimation (MLE) of a phase aberration term which is added to the theoretical pupil function of the imaging system. 3. Use the phase-retrieved pupil function to perform single-emitter localization. Accompanying publication available here: https...

audio classification; speaker segmentation; speaker clustering; speaker recognition; spoken document retrieval; image retrieval; video retrieval; etc.

Content-based Image Retrieval (CBIR) consists of retrieving visually similar images to a given query image from a database of images. It is done by comparing selected visual features such as color, texture and shape from the image database.

This is a Content Based Image Retrieval Interface with only color features implemented. This is part of a thesis work to analyze the different color features and observe the performance on mainly corel5k images.