Photoshop™ Tutorials Selecting ROIs from Brightfield Images
نویسندگان
چکیده
منابع مشابه
Detecting Pornographic Images by Localizing Skin ROIs
In this study1, a novel algorithm for recognizing pornographic images based on the analysis of skin color regions is presented. The skin color information essentially provides Regions of Interest (ROIs). It is demonstrated that the convex hull of these ROIs provides semantically useful information for pornographic image detection. Based on these convex hulls, the authors extract a small set of ...
متن کاملStain Unmixing in Brightfield Multiplex Immunohistochemistry Images
Multiplex immunohistochemistry (IHC) staining is a newly emerging technique for the detection of multiple biomarkers within a single tissue section and has become more popular due to its significant efficiency and the rich diagnostic information it contains. Therefore, to accurately unmix the IHC image and differentiate all the stains is of tremendous clinical importance since it is the initial...
متن کاملSelecting Representative Images from Larger Photo Sets
Selecting a single photograph to represent a set of photographs is a useful approach when creating interfaces to large photo collections. Unfortunately, many different methods for selecting photographs are used in practice today, and none have been well studied or shown to be particularly effective. In this paper we look at several different common methods for selecting a single photograph in o...
متن کاملCancer Cell Detection and Invasion Depth Estimation in Brightfield Images
Invasion, an important phase in the development of cancer, consists on the extravasation of cells from the tissue of origin into neighbor tissues. The absence of good models to study the interactions between invasive cancer cells and the other elements of the tumor microenvironment, led to the construction of innovative 3D invasion assay [1]. However, the task of evaluating the results of such ...
متن کاملMultistage Morphological Segmentation of Brightfield and Fluorescent Microscopy Images
This paper describes the multistage morphological segmentation method (MSMA) for microscopic cell images. The proposed method enables to study the cell behavior using a sequence of two types of microscopic images: bright field images and/or fluorescent images. The proposed method is based on two types of information: the cell texture coming from the bright field images and intensity of light em...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Microscopy Today
سال: 2003
ISSN: 1551-9295,2150-3583
DOI: 10.1017/s1551929500052445