Trinocular stereovision using figural continuity, dealing with curved objects

A method to build a dense and reliable 3-D description of a scene from three digital images by means of passive stereovision is presented. This method uses figural continuity to improve the results of a previously developed algorithm. In particular, it copes much better with curved objects and produces results which are organized as 3-D chains of segments

Classification of human parasitic worm using microscopic image processing technique

Human parasitic infection causes diseases to people whether this infection will be inside the body called endoparasites, or outside of the body called ectoparasites. Human intestinal parasite worms infected by air, food, and water are the causes of major diseases and health problems. So in this study, a technique to identify two types of parasites in human fecal, that is, the eggs of the worms is proposed. In this strategy, digital image processing methods such as noise reduction, contrast enhancement, and other morphological process are applied to extract the eggs images based on their features. The technique suggested in this study enables us to classify two different parasite eggs from their microscopic images which are roundworms (Ascaris lumbricoides ova, ALO) and whipworms (Trichuris trichiura ova, TTO). This proposed recognition method includes three stages. The first stage is a pre-processing sub-system, which is used to obtain unique features after performing noise reduction, contrast enhancement, edge enhancement, and detection. The next stage is an extraction mechanism which is based on five features of the three characteristics (shape, shell smoothness, and size. The final stage, the Filtration with Determinations Thresholds System (F-DTS) classifier is used to recognize the process using the ranges of feature values as a database to identify and classify the two types of parasites. The overall success rates are 93% and 94% in Ascaris lumbricoides and Trichuris trichiura, respectively

Multi-Scale Vector-Ridge-Detection for Perceptual Organization Without Edges

We present a novel ridge detector that finds ridges on vector fields. It is designed to automatically find the right scale of a ridge even in the presence of noise, multiple steps and narrow valleys. One of the key features of such ridge detector is that it has a zero response at discontinuities. The ridge detector can be applied to scalar and vector quantities such as color. We also present a parallel perceptual organization scheme based on such ridge detector that works without edges; in addition to perceptual groups, the scheme computes potential focus of attention points at which to direct future processing. The relation to human perception and several theoretical findings supporting the scheme are presented. We also show results of a Connection Machine implementation of the scheme for perceptual organization (without edges) using color

Survey on Image intensification using Canny Edge Technique

Image Processing is generally done in form of Signal Processing. In this images, pictures, video frame etc are given in Input form and the Output appears with certain set of features or parameters in relation to the input given. Edge Detection using Canny Technique is an set of Mathematical Functions whose main goal is to detect points in the Digital input i.e. image and detect how brightness changes variably , and where are discontinuities. Edge detection is an essential stage in processing the image. Mostly image-processing techniques consider the image as a two-dimensional signal then put standard signal-processing techniques to it. Generally it means Digital Image being processed but analog and digital signals can also be processed

Edge detection based on augmented lagrangian method for lowquality medical images

Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest. In there, edge detection is a process prepared for boundaries. Therefore, the edge detection of medical images is very important. Other previous methods must sacrifice time for the accurate results. It is because the medical images in the real world have many impurities. In this paper, I propose a method of detecting edges in medical images which have impurities by using augmented lagrangian method to improve the Canny algorithm. My algorithm improves the ability to detect edges faster. Compared with other recent methods, the proposed method is more efficient

A Novel Radial Intensity Based Edge Operator

A novel edge operator is introduced based on steerable asymmetric linear filters consisting of radial wedge segments. An intensity profile is computed by averaging intensity values along a radial wedge segment as it sweeps about a small circular neighborhood. The steerability of the filters allows for interpolation of a continuous profile function for n discretely sampled postions of the radial wedge segments. Edge strength is then calculated as a simple difference of conditinal means of the resulting intensity profile. This paper introduces the basic paradigm of using asymmetric filters for low-level image processing tasks and shows how this approach is utilized to design a novel edge operator (the Radial InTensity Edge, or RITE, operator). Features of the RITE operator include: (1) a mathematically simple algorithm with comparable performance to the well-known gradient-based Deriche operator; (2) better performance at points where several edges intersect; (3) an average time complexity reduction by a factor of 1.7 to 2.1 over the Deriche operator

Magnetic Imaging through Metallic Enclosures

Security applications may require the ability to image through electromagnetic shields. This is for example the case when trafficking of illicit material involves cargo containers. Thus, suitable detection techniques are required to penetrate a ferromagnetic enclosure. We report on the demonstration of the ability of a system based on electromagnetic interrogation techniques to create magnetic images of metallic objects concealed within metallic enclosures. The penetrating power through single and double ferromagnetic enclosures was investigated. The instrument employs a driver Helmholtz-coil assembly and an array of 20 × 20 sensor coils. The sample objects were imaged via phase variation measurements between the driver and sensor coils, due to inductive coupling between the coils and the sample object

Obtenção de informação 3D a partir de movimento de câmara : calibração, detecção e simplificação de entidades, seguimento temporal, triangulação

A obtenção de informação tridimensional (3D) de objectos apresenta importância extrema em muitas aplicações de Visão Computacional. Como exemplos, podem ser citados:inspecção industrial, guiamento de veículos, reconstrução, seguimento e identificação de objectos. Neste artigo, é apresentada uma metodologia para obter informação 3D a partir do movimento de uma câmara, constituída pelas fases: calibração, detecção e simplificação de entidades, seguimento temporal das mesmas e obtenção de coordenadas 3D