Data compression is an effective means for saving storage space and channel bandwidth. There are two main types of compression lossy and lossless. This paper will deal with lossless compression techniques named Huffman, Arithmetic, LZ-78 and Golomb coding. The paper attempts to do comparative analysis in terms of their compression efficiency and speed. The test files used for this include English text files, Log files, Sorted word list and geometrically distributed data text file. The implementation results of these compression algorithms suggest the efficient algorithm to be used for a certain type of file to be compressed taking into consideration both the compression ratio and speed of operation. In terms of compression ratios, Golomb is best suited for very low frequency Text files, arithmetic for moderate and high frequency. Implementation is done using MATLAB software. General TermsText Compression.

Segmentation techniques in the medical field are used to segment anatomical structures or other region of interest from medical images obtained from different modalities. This paper deals with segmentation techniques like manual thresholding, Otsu thresholding, watershed, traditional active contours and growcut in X-ray modality, for segmenting the tibia bone. This paper analyzes the performance of these algorithms on a database of 48 clinical X-ray images. The images have been obtained from different X-ray machines and vary in their resolution and dimensions. The performance of the algorithms have been measured and validated empirically. General TermsMedical imaging, machine vision, biomedical image analysis.

This paper deals with techniques that have been used for bone fracture detection in the past few years. The authors have made attempts to survey papers from different modalities. This led us to study techniques that have been applied to images obtained from different modalities like X-ray, CT, MRI and ultrasound. The methods have been documented in a way that aids ease of interpretation. The paper is the first of its kind to survey fracture detection techniques across different modalities. The study will help the reader in designing computer aided diagnosis (CAD) systems in the field of medical imaging. General TermsMedical imaging, machine vision, biomedical image analysis.