Map online system using internet-based image catalogue

Digital maps carry along its geodata information such as coordinate that is important in one particular topographic and thematic map. These geodatas are meaningful especially in military field. Since the maps carry along this information, its makes the size of the images is too big. The bigger size, the bigger storage is required to allocate the image file. It also can cause longer loading time. These conditions make it did not suitable to be applied in image catalogue approach via internet environment. With compression techniques, the image size can be reduced and the quality of the image is still guaranteed without much changes. This report is paying attention to one of the image compression technique using wavelet technology. Wavelet technology is much batter than any other image compression technique nowadays. As a result, the compressed images applied to a system called Map Online that used Internet-based Image Catalogue approach. This system allowed user to buy map online. User also can download the maps that had been bought besides using the searching the map. Map searching is based on several meaningful keywords. As a result, this system is expected to be used by Jabatan Ukur dan Pemetaan Malaysia (JUPEM) in order to make the organization vision is implemented

3D image extraction from 2D aerial image

A 2D image can be thought of as a surface in 3D, with the third dimension being the gray-level intensity at each image point. The image appears as a mountainous landscape, with each structure in the image represented as a series of mountains and valley. This method usually used in order to model the object in 3D-game and object surface. We tried to use this method to calculate the z-coordinate of each pixel in an aerial image. In this paper we purposed a solution to the problem of calculating the 2coordinate of each pixel in an aerial image according to gray-level intensity at each image point

A novel technique for contour reconstruction to DEM

Contour lines recognition from raster topographic map is an interesting research in Geographic Information System. The majority of previous studies, either associates with manual digitizing, interactive or semi-automated process has several drawbacks. Generally, these approaches are time-consuming, inefficient and produced unreliable digitized data. Due to textured background and diverse information characterize on the map, extraction process has become complicated. This study concentrates on establishing an efficient approach for contour line recognition using local geometry and relationship derived from their neighbourhood pixels locality. The approach consists of three fundamental phrases: (1) preprocessing to obtain initial contour layer, (2) processing for enhancement and reconnection, and (3) post-processing to validate the extracted contour information. The entire methodology is decomposed into a number of tasks: (1) scan paper-based map into raster image, (2) colour quantization to reduce colour, (3) map layer separation and integration to acquire a comprehensive contour layer, (4) contour lines enhancement and thinning, (5) endpoints detection, (6) derivation of local geometries (distance, angle and directional information), (7) determination of best connection with identified endpoints, (8) reconnection of broken contour lines using cubic spline interpolation. In order to evaluate the applicability of this study, several experiments are conducted on topographic map in different scale and resolution. The results indicated that the usage of colour quantization is capable to extract contour layer from topographic map. Alternatively, the employment of cubic spline interpolation for contour lines reconnection has proven a favourable result. As a conclusion, this study has shown an acceptable result with low computation time and cost

Motion Selection and Motion Parameter Control Using Data Gloves

Abstract-We present a data-glove-based interface that controls many types of motion and their styles. We use hand positions to select a motion type and finger angles to control the motion parameters. We employ motion blending to generate the target motion with a set of example motion data for each type of motion. Finally, we intend to conduct a user experiment in which we compare our interface with an equivalent gamepad-based interface

The Use Of Hybrid Technique: Thresholding And Edge Detection For Identifying River From Aerial Photo

The Field Of Image Processing Is A Broad Field With Many Applications In Science And Industry. Image Processing Is Used To Manipulate And Enhance An Image, Which Ease The Next Process. This Research Involves The Use Of A Hybrid Techniques, Which Is A Combination Of Thresholding And Sobel Edge Detection Technique, To Recognize A River From A Grey Scale Image. Thresholding Technique Is Used To Reduce Non-Maxima Pixels, Weak Edges And Noise, Whilst The Edge Detection Technique Is Used To Detect Location Of The Edges. The Output From This Hybrid Technique Is Compared To The Existing Techniques Such As Sobel, Prewitt, Laplacian, And Robert Cross Technique

The development of an intelligent GIS System-A 3D image extraction and construction from a non-digital 2D aerial photograph using digital photogrammetry technique

The usage of modern appliances in science and technology has enabled us to easily obtain three dimensional (3D) information of target location. However, there is a limitation because past information cannot be retrieved using existing technology. For example, a two dimensional (2D) historical information can be a negative aerial photo, printed aerial photo, map and et cetera. The historical data are used in agricultural mapping, forestry and town planning. A greyscale aerial photo represents information in 2D using x and y values. This research is focussed on height information extraction using image processing technique. In this study, the relationship between pixel and voxel is used to solve high information extraction problem from old aerial photo. Based on Gudes idea, the pixel intensity value of a pixel is related directly to the value of the z-coordinate. Simultaneously, the test on a pixel profile line to obtain the greyscale is implemented. A result of the test is compared using Bersoft Image Measurement, efglabs and Image-Pro Plus. 3Dfield software is used to re-plot the height information extracted from the aerial photo images. Comparisons between the original and re-plotting images have shown insignificant differences. Consequently, it is proven that the proposed technique presented in this report is feasible as a tool for height information extraction from an aerial photo image