This program is designed to improve causal inference via a method of matching that is widely applicable in observational data and easy to understand and use (if you understand how to draw a histogram, you will understand this method). The program implements the coarsened exact matching (CEM) algorithm, described below. CEM may be used alone or in combination with any existing matching method. T...

As a first step to the instance search task, we employed several existing image retrieval methods in combination (local feature matching, region matching, and global feature matching), according to the type and property of query images. The best run in this approach was ranked 23rd of 42 as regards the average precision result. Keywords; PCA-SURF; Bag of Features; Color histogram; Haar-Wavelet;...

Face detection is a crucial step in many vision applica-tions. Since the Viola and Jones face detector, many feature extraction approches based Adaboost are proposed.This paper presents a novel approach to extract effective features for face detection system. Both LBP and three Patch LBP (TPLBP) with joint integral histogram are used to extract features. The joint integral histogram was firstly...

It is argued that global illumination should be modeled separately from other incidents that change the appearance of objects The e ects of intensity variations of the global illumination are discussed and constraints deduced that restrict the shape of a function that maps the histogram of a template to the histogram of an image location This approach is illustrated for simple pattern matching ...

This paper presents a novel face detection approach in color images. We employ spatial histograms as robust features for face detection. The spatial histograms consist of marginal distribution of color image information. Facial texture and shape are preserved by the spatial histogram representation. A hierarchical classifier combining histogram matching and support vector machine is utilized to...

Various lung cancer detection procedures have been discussed earlier with image segmentation but struggles with accuracy and false positive results. We propose a template matching algorithm for LCD using multi level histogram to segment the pixels of the Lung image to increase the efficiency and accuracy with low time complexity. The proposed method has following steps: Preprocessing, Histogram...

In this paper, an image quality assessment technique based on defocus blur identification is proposed. Some representative image regions containing edge features are first extracted automatically. A histogram analysis based on the comparison of real and synthesized defocused regions is then carried out to estimate the blur extent. By iteratively changing the convolution parameters, the best blu...

This paper addresses the problem of estimating the model parameters of a piecewise multi-linear (PML) approximation to a probability density function (PDF). In an earlier paper, we already introduced the PML model and discussed its use for the purpose of designing Bayesian pattern classifiers. The estimation of the unknown model parameters was based on a least squares minimisation of the differ...