Tag: Matlab

AUTOMATIC CLOUD AND CLOUD SHADOW DETECTION ABSTRACT The cloud and cloud shadow are difficult to captureaccuratelyin optical imagery because of insufficient spectral information. In this paper, an automatic multiple features combined (MFC) method is proposed for cloud and cloud shadow detection in GF–1 WFVimagery which includes three visible and one near–infrared bands. The local optimization

Statistical Region Merging Segmentation ABSTRACT Separating an optical remote sensing image into sea and landareas is very challenging yet of great importance to the coast-line extraction and subsequent object detection. In this paper,we propose a hierarchical region merging approach to auto-matically extract the sea area and employ edge directed graphcut (GC) to accomplish the final

Texture synthesis Steganography Abstract We propose a novel approach for steganography using a reversible texture synthesis. A texture synthesis process re-samples a smaller texture image which synthesizes a new texture image with a similar local appearance and arbitrary size. We weave the texture synthesis process into steganography to conceal secret messages. In contrast to using

Tumor Detection Abstract This paper presents a novel brain tumor segmentation method. It is a hybrid of fuzzy c-means clustering algorithm (FCM) and cellular automata model (CA) through the features obtained from gray level co-occurrence matrix (GLCM). Thi s aims to improve the seed growing problem using similarity function generally found in traditional segmentation algorithms.

Efficient Underwater color image Enhancement using CLAHE method Abstract Conventional contrast enhancement techniques often fail to produce satisfactory results for low-contrast images, and cannot be automatically applied to different images because processing parameters must be specified manually to produce satisfactory results for a given image. This paper proposes a contrast enchancement technique to enhance colour

Performance Analysis of WCDMA on different Modulation Techniques Abstract In Universal Mobile Telecommunication System (UMTS), high data rate transmission is possible by using Wideband Code Multiple Access technique (WCDMA) as an air interface. This paper studies performances of various modulation schemes such as Phase Shift Keying(both BPSK and QPSK) and 16 – Quadrature Amplitude Modulation

Blood Vessel Segmentation & Detecting Multiple Objects Using Blob Detection Abstract Compared to still images, video sequences provide more information about how objects and scenarios change over time. For many high vision purposes, detecting low-level objects in an image is of great importance. These objects, which can be 2D or 3D, are called blobs. This

Detection of oil seeping using k-means clustering based on color image segmentation Abstract Color image segmentation has been the hotspot for the researchers in the image processing field. Color image segmentation using the k-means clustering algorithm has yielded fruitful results. An advantage resulting from the choice of color space representation could be taken to  enhance

Computer Vision Based Vehicle Detection & Counting Abstract A vehicle detection and counting system plays an important role in an intelligent transportation system, especially for traffic management. This paper proposes a video-based method for vehicle detection and counting system based on computer vision technology. The proposed method uses background subtraction technique to find foreground objects

Implementation of Face Detection and Tracking Abstract In this paper, we addressed the problem of facerecognition under mismatched conditions. In the proposed sys-tem, for face representation, we leveraged the state-of-the-artdeep learning models trained on the VGGFace2 dataset. Morespecifically, we used pretrained convolutional neural networkmodels to extract 2048 dimensional feature vectors from faceimages of International Challenge