**1. Introduction**

Melanoma, otherwise called malignant melanoma, is a kind of cancer that is created from the pigment-containing cells known as melanocytes. Melanomas commonly occur in the skin, but may rarely occur in the mouth, digestion tracts, or eye. Malignant melanoma is the most forceful and hazardous skin disease. It is created in the cells that give the skin its color (melanocytes) and has a high inclination to spread to different parts of the body. The cure rates depend incredibly on the phase of melanoma, when it is discovered. On the off-chance that melanoma is perceived and treated early, it is quite often repairable; however, in the event that it is not, the disease can progress and spread to different parts of the body, where it turns out to be difficult to treat and can be lethal. While it is not the most well-known of the skin cancers, it causes the most deaths.

The timeline of melanoma is summarized in **Table 1**, portraying particularly significant disclosures and advances in treatment against the disease. Malignant melanoma is the most genuine type of skin cancer. An early detection and diagnosis of skin cancer prevent its advancement to later stages. Menzies method, the sevenpoint checklist, the CASH (Color, Architecture, Symmetry, and Homogeneity) algorithm, and the broadly used algorithm is the ABCD/ABCDE (Asymmetric,


#### **Table 1.**

*Timeline of melanoma.*

Border, Color, and Dermatoscopic structures) method are computational algorithms have been developed using image processing techniques to help dermatologists in early diagnosis of skin lesions [6–9]. Several methods for evaluating melanocytic lesions by dermoscopy are described precisely in Section 3.

Extraordinary endeavors have been done by researchers to make compelling and dependable computerized demonstrative techniques for skin lesions, yet very little research has been centered on the hair removal problem. Clearly, human body might be totally covered by hair, which has a scope of various surfaces, orientations, and colors; in this way influence incompletely/totally the presence of skin lesions as appeared in **Figure 1**.

Hair removal is an important step in dermoscopy images to classify the skin lesion correctly into benign, suspicious, or malignant. Various techniques were applied to remove hairs automatically from dermoscopic images are discussed in detail by [11, 12]. The rest of this research is organized as follows: Section 2 describes an overview of related work. Section 3 describes an overview of common

**Figure 1.** *Sample of digital dermoscopic images with hair pixels are collected from PH2 dataset [10].*

methods used for diagnosis of skin lesions while Section 4 describes the proposed technique. The implementation is presented and discussed in Section 5 followed by some remarks and future work.
