Image segmentation involves calculating the position of object boundaries. For scene analysis, the intent is to di erentiate objects from clutter by means of preprocessing. The objective of this paper is to examine and discuss two morphological techniques for preprocessing and segmenting range images. A MorphologicalWatershed Algorithm has been studied in detail for segmenting range images. Thi...

Laughter as an every-day, human-specific, affective, nonverbal vocalisation has attracted researchers from many disciplines. One consequence of the multi-disciplinarity is that the way of segmenting the acoustic signal of laughter as well as the terminology are used in a heterogeneous and partially contradictory way. This study tries to analyse the terminological variety from a phonetic perspec...

This study aims to determine the effect of Segmenting Targeting Positioning Strategy on Clothing Purchase Decisions for Store Consumers at PTM Bengkulu. research method uses a quantitative approach, object is 160 respondents In this study, researchers used data collection methods by means observation, interviews and distributing questionnaires. Multiple linear regression analysis, coefficient d...

Abstraet--A new discrimination function is presented for segmenting touching characters based on both pixel and profile projections. A dynamic recursive segmentation algorithm is developed for effectively segmenting touching characters. Contextual information and spell checking are used to correct errors caused by incorrect recognition and segmentation. Based on 12 real documents, a maximum 99....

A novel technique is presented to combine genetic algorithms (GAs) with level-set functions to segment objects with known shapes and variabilities on images. The individuals of the GA, also known as chromosomes consist of a sequence of parameters of a level-set function. Each chromosome represents a unique segmenting contour. An initial population of segmenting contours is generated based on th...

Color has been widely used for hand segmentation. However, many approaches rely on predefined skin color models. It is very difficult to predefine a color model in a mobile application where the light condition may change dramatically over time. In this paper, we propose a novel statistical approach to hand segmentation based on Bayes decision theory. The proposed method requires no predefined ...

Detection of unusual objects amongst a highly textured background is a difficult problem, especially when the texture is manifest in the temporal dimension as well. Outdoor scenes involving waving trees or moving water are examples of such a scenario, but are nevertheless frequently encountered in real world vision applications. By defining a simple but rotationally sensitive Local Binary Patte...

Information graphics (line graphs, bar charts, etc.) often appear in popular media such as newspapers and magazines. Such graphics generally have a message that they are intended to convey. Our overall project goal is to extract this message. For a line graph, the first step is to segment the graph into a series of visually distinguishable trends. This paper presents our methodology for identif...

A new algorithm is presented for the detection and segmentation of multiple periodic motions in image sequences A periodicity measure which provides an accurate quantitative measure of sig nal periodicity in the form of temporal harmonic energy ratio is proposed The periodicity tem plates which incorporate the segmented region with the associated periodicity energy distribu tion and motion fund...

[Abstract] This paper presents a novel method to segment/decode DNA sequences based on statistical language model. Firstly, we find the length of most DNA “words” is 12 to 15 bps by analyzing the genomes of 12 model species. Then we apply the unsupervised approach to build the DNA vocabulary and design DNA sequence segmentation method. We also find different genomes is likely to use the similar...