Mohammad Shorif Uddin

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Crossing roads is a great challenge for visually impaired people. A robust technique for detection of zebra crossings is described. This is achieved through bipolarity-based segmentation and projective invariant-based recognition. The technique shows good performances under various illuminations such as sunny, cloudy and rainy situations in the day time and(More)
A novel image-based approach for detecting pedestrian crossings to enhance the safety and mobility of blind people while crossing a road is described. This is achieved through bipolarity-based segmentation and projective invariant-based recognition. A thorough evaluation of the proposed approach was conducted using 100 real images with and without(More)
—This paper presents a novel approach for detecting pedestrian crossings to enhance the safety and mobility of blind people while crossing a road. It is extremely important for a blind person to know whether a frontal area is a crossing or not. In a crossing, the usual black road surface is painted with constant-width periodic white bands. An image-based(More)
This paper proposes a novel adaptive algorithm to extract facial feature points automatically such as eyebrows corners, eyes corners, nostrils, nose tip, and mouth corners in frontal view faces, which is based on cumulative histogram approach by varying different threshold values. At first, the method adopts the Viola-Jones face detector to detect the(More)
Optimizing threshold value of wavelet coefficient is an important task in speckle noise reduction in the wavelet domain. Without proper selection of threshold value image information may be lost, which is unwanted. In this paper we proposed optimum threshold parameter using Fisher Discriminant Analysis (FDA) for determining the optimum threshold value of(More)
This paper proposes a new method for detecting vehicles from an image. The method consists in three stages of segmentation, extraction of candidate window corresponding to a vehicle and detection of a vehicle. From the experimental results using 121 real images of road scenes, it is found that the proposed method can successfilly detect vehicles for 120(More)
Now a days Empirical Mode Decomposition (EMD) is an important tool for image analyzing. Optimizing threshold value of Bidimensional Intrinsic Mode Function (BIMF) is one of the important tasks in speckle noise reduction in the Bidimensional Empirical Mode Decomposition (BEMD) domain. Without proper selection of threshold value image information may be lost,(More)
In many medical imaging modalities, the Fast Fourier Transform (FFT) is being used for the reconstruction of images from acquired raw data. The objective of the paper is to develop FFT and Inverse FT algorithms to run under GPU for performing in much faster way. The GPU based FFT implementation provides much faster reconstruction of Medical images than CPU(More)