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With the development of remote sensing technology, the source of data is getting more abundant and the resolution is becoming higher. Consequently, conventional change detection method can't meet the application requirements any more. In this paper, an object-oriented change detection method for multisource remote sensing images using multi-feature fusion was proposed to solve this problem. On the...
Identify the amount and spatial distribution of reserve cultivatable land resources is the basis for its development to increase crop planting areas. Taking Jiaxiang county of Shandong Province of China as a case study, this paper conducted image segmentation and merge based on RapidEye image data (5m spatial resolution) after data preprocessing. Then, object-oriented approach was used to classify...
Nowadays everywhere remote sensing images are used for wide variety of applications, creation of mapping products for military and civil applications, evaluation of environmental damage, monitoring of land use, radiation monitoring, urban planning, growth regulation, soil assessment, and crop yield appraisal. A few number of image classification algorithms have proved good precision in classifying...
This paper deals with research in the area of automatic extraction of textual and non-textual information and their classification. The main idea is to create a robust method for extraction of image and textual segments to obtain short web document. Thus, developed method consist of two data types extractions, where both image and text data extraction are using Document Object Model tree. Extracted...
Recently, product perfect codes (PPC) steganographic method was proposed by H. Rifa-Pous and J. Rifa, which can achieve large embedding efficiency with less distortion. They divided the cover image into disjoint matrix blocks and apply F5 algorithm in each row and some columns. The proposed method in this paper improves the PPC embedding method. F5 algorithm was also utilized in each row, but to the...
Histologic analysis of a stained tissue sample by a trained pathologist forms the definitive diagnosis of prostate cancer. Rapid and objective second opinions are highly desirable to make more accurate diagnostic decisions. One alternate method is to use Fourier transform infrared (FT-IR) spectroscopic imaging, which is an emerging technique that combines the molecular selectivity of spectroscopy...
This article shows the improvement of automatic cartoon classification. Two new visual features - color component and color kind based on region segmentation - are proposed. Compared to traditional HSV color histogram and texture, experiment using the two new features can achieve better result, with less dimensions and higher mining efficiency.
Juniperus excelsa subsp. Polycarpos, which Iranians know as the Persian juniper, located in the northeast of Iran. The survey of forest resources is an important task for the management and protection of the forest. Traditionally, such an essential task is heavily dependent on the labor-intensive ground survey. In this paper, we must be able to extract tree density by two methods and compare with...
The paper realizes water body extraction well using object-oriented classification method based on SPOT5 image. Firstly, segment image according to multi-scale image segmentation method based on edge-detection algorithm. Secondly, determine various characteristic parameters in land surface features according to object characteristics such as spectrum, shape and texture. And thirdly, use SVM (Support...
We present a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stages. The object recognition machine consists of four hierarchical layers, each composed of units upon which evaluation functions output a label score, followed by a grouping mechanism that resolves ambiguities in the score...
This paper addresses the problem of automatic broadcasted TV program extraction from the low-level video data without using any metadata. In this context, the TV stream is first segmented. Segments are then classified into two categories: segments of inter-programs (e.g. commercials) and segments of programs that are parts of broadcasted TV programs (e.g. films, news, shows). One TV program can hence...
In this paper, we present a graph-based approach to automatically detect defective zebrafish embryos. Here, the zebrafish is segmented from the background using a texture descriptor and morphological operations. In this way, we can represent the embryo shape as a graph, for which we propose a vectorisation method to recover clique histogram vectors for classification. The clique histogram represents...
The recognition of Chinese chess through computer vision includes chess detection and its character recognition, and the process should be fast and robust. In this paper, Robert operator is used to get the edge information of chess, then detection, localization and segmentation of the chess are realized through mathematical morphology and template circle method. A new algorithm based on projection...
MRI medical image segmentation is one of important problem in medical image processing. It is more challenging compared to other image processing problems due to the large variability in shapes, complexity of medical structures. In the paper, a new segmentation approach of magnetic resonance brain tissues image based on support vector machines (SVM) and level set method is presented. Firstly, reduced...
The banknote recognition system based on hidden Markov models (HMM) is proposed. It is based on the empirical risk minimization (ERM) principle. Image preprocessing includes brightness equalization and tilt correction. In order to satisfy the high speed and reliability of the banknote processing system, the grid segmentation is used for features extraction. Analyze the experimental data and determine...
Traumatic pelvic injuries are complex and difficult to treat, due to the high risk of complications. Prompt and accurate medical treatment is therefore vital. Computer-aided decision-making systems can assist physicians in this task, but none of those proposed so far incorporate features extracted from medical images. The study in this paper uses demographic information, standard medical measurements,...
Improving the precision of shot boundary detection is very important. This paper presents an algorithm for shot boundary detection based on SVM (support vector machine) in compressed domain. It uses the features, such as the type of macroblock, the difference between DC coefficients of two co-located blocks in successive frames and the type of frame, to segment a video into the shots by classifying...
This paper proposed a new method for infrared people-counting. According to the characteristics of the time continuous data collected by infrared sensors, the pattern recognition idea is introduced in the data processing procedure. After the special pretreatment, adaptive segmentation and feature extraction for the people-counting data, the feature vector is used as the inputs of the trained support...
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