Spot Detection with Optimal Scale Selection in Fluorescence Microscopy Images
Sk.Fairoze, V.V.Rama Krishna, P.Rakesh Kumar
Local statistics, Global statistics, Gaussian blur, spot detection, hot spots, Noise Modeling
This paper presents how hot spot detection methods can be extended to allow for temporal dimensions. Major concerns are how temporal dimension is incorporated into the framework of point pattern analysis, while maintaining the capability of multi-scale analysis. The study elaborates on expanding the scope of (space) K function in order to count time in the analysis. With the explicit treatment of time as well as space, K function falls into three category depending on the way space and time are controlled; (1) space K function, (2) time K function, (3) space-time K function. Space K function is equivalent to the original K function, the method for detecting spatial hot spots where time is controlled. Time K function is the method for detecting temporal hot spots where space is controlled. Space-time K function is broken down to three distinct types: The first type examines spatial pattern of observations disaggregated into temporal category. The second type examines temporal pattern of observations disaggregated into spatial category. The third type detects spatio-temporal pattern, or any interaction between space and time. A set of K function is tested on traffic crash data. The case study illustrates how each category of K function can be used to answer different queries, such as whether there is significant spatial/temporal hot spots, in which scale, and where if any. In addition, temporal variation of spatial hot spots can be explored using the first type of space-time K function. This study demonstrates the explicit treatment of temporal dimensions can enhance the process of knowledge discovery. Newly formulated K functions can provide the methodological framework for exploring spatial, temporal, and spatio-temporal patterns of point events across varying scales
Article Details
Unique Paper ID: 143987

Publication Volume & Issue: Volume 3, Issue 5

Page(s): 85 - 89
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews