This paper presents a novel approach called Spread Histogram for calculation of spatial relations between objects. It allows to determine such relations as INSIDE, OUTSIDE, ENCOMPASS. Additionally, the method cooperates very well with standard histogram methods like Histogram of Angles for determining the directional spatial relations.

In this work, we have a proposed an automatic method to brain tumor segmentation using magnetic resonance imaging (MRI) histogram. In our proposed method input is taken from abnormal slice of the MRI volume. Based on image histogram of the abnormal slice, our algorithm automatically detected the local minima and maxima using histogram smoothing techniques. Threshold value obtained from local mi...

chest radiography is a common diagnostic imaging test, which contains an enormous amount of information about a patient. however,its interpretation is highly challenging. the accuracy of the diagnostic process is greatly influenced by image processing algorithms;hence enhancement of the images is indispensable in order to improve visibility of the details. this paper aims at improving radiograp...

Skin color segmentation by a block histogram-based Support Vector Machine (SVM) is proposed in this paper. The color model used is the Hue-Saturation (HS) model. Color information is represented by histogram of a block image on the HS space. To represent histogram information as accurately as possible, an irregular quantization partition approach on HS space is proposed. Histogram information o...

This study is focused on histogram thresholding methods automatically. In computer vision, Image segmentation is an initial and vital step in a series of processes aimed at overall image understanding. In other words Segmentation refers to the process of partitioning a digital image into the multiple segments (set of pixels as known as super pixels). Two very simple image segmentation technique...

Magnetic resonance imaging (MRI) of the brain is a precious tool to facilitate physician’s diagnoses and care for a mixture of brain diseases including stroke, cancer, and epilepsy. It presents exact information to discover the diseases. Histogram equalization is one of the important steps in image enhancement technique for MRI. This paper compares different methods like Brightness Preserving B...

People Tracking is a problem of great interest for wide areas video surveillance systems. In these large areas, it is not possible for a single camera to observe the complete area of interest. Surveillance systems architecture requires algorithms with the ability to track objects while observing them through multiple cameras. We focus our work on multi camera tracking with non overlapping field...

This paper addresses the problem of detecting and tracking multiple moving people in a complex environment with unknown background. In this paper, we propose a new correlation-based matching technique for feature-based tracking. Our method was compared with two existing matching techniques, namely the normalized Euclidean distance and histogram-based matching. Experimental results on real-image...